Bảy loài robot của tôi-Dennis Hong

My seven species of robot - Dennis Hong

Autoscroll:

so<00:00:16.260> the<00:00:16.349> first<00:00:16.619> robots<00:00:17.039> talk<00:00:17.279> about<00:00:17.520> is<00:00:17.670> called so the first robots talk about is called so the first robots talk about is called Strider<00:00:18.420> it<00:00:19.230> stands<00:00:19.529> for<00:00:19.740> a<00:00:19.770> self-excited<00:00:20.430> try Strider it stands for a self-excited try Strider it stands for a self-excited try Peter<00:00:21.090> dynamic<00:00:21.750> experimental<00:00:22.349> robot<00:00:22.680> it's<00:00:22.829> a Peter dynamic experimental robot it's a Peter dynamic experimental robot it's a robot<00:00:22.980> that<00:00:23.759> has<00:00:23.939> three<00:00:24.270> legs<00:00:24.539> which<00:00:24.900> is robot that has three legs which is robot that has three legs which is inspired<00:00:25.740> by<00:00:26.189> nature<00:00:27.000> but<00:00:27.869> have<00:00:28.079> you<00:00:28.169> seen inspired by nature but have you seen inspired by nature but have you seen anything<00:00:28.619> in<00:00:28.800> nature<00:00:29.279> and<00:00:29.430> an<00:00:29.520> animal<00:00:29.849> that anything in nature and an animal that anything in nature and an animal that has<00:00:30.090> three<00:00:30.360> legs has three legs has three legs probably<00:00:31.469> not<00:00:31.619> so<00:00:31.919> why<00:00:32.369> I<00:00:32.399> do<00:00:32.640> I<00:00:32.850> call<00:00:33.149> this<00:00:33.239> a probably not so why I do I call this a probably not so why I do I call this a biologically<00:00:33.989> inspired<00:00:34.110> robot<00:00:34.739> how<00:00:35.309> would<00:00:35.520> it biologically inspired robot how would it biologically inspired robot how would it work<00:00:35.670> but<00:00:36.030> before<00:00:36.329> that<00:00:36.480> let's<00:00:36.750> look<00:00:36.899> at<00:00:37.050> pop work but before that let's look at pop work but before that let's look at pop culture<00:00:37.520> so<00:00:38.520> you<00:00:38.579> know<00:00:38.879> HG<00:00:39.450> Wells<00:00:39.629> world<00:00:40.050> the culture so you know HG Wells world the culture so you know HG Wells world the world's<00:00:40.469> novel<00:00:40.980> a<00:00:41.129> movie<00:00:41.610> and<00:00:41.820> what<00:00:42.539> you<00:00:42.629> see world's novel a movie and what you see world's novel a movie and what you see over<00:00:42.809> here<00:00:42.960> is<00:00:43.079> a<00:00:43.170> very<00:00:43.320> popular<00:00:43.800> video<00:00:44.550> game over here is a very popular video game over here is a very popular video game and<00:00:45.120> and<00:00:45.270> these<00:00:45.720> are<00:00:45.780> fiction<00:00:46.440> they<00:00:46.560> describe and and these are fiction they describe and and these are fiction they describe these<00:00:47.310> alien<00:00:47.940> creatures<00:00:47.970> and<00:00:48.600> robots<00:00:48.960> that these alien creatures and robots that these alien creatures and robots that have<00:00:49.079> three<00:00:49.350> legs<00:00:49.560> that<00:00:49.950> terrorize<00:00:50.430> earth<00:00:50.730> but have three legs that terrorize earth but have three legs that terrorize earth but my<00:00:51.540> robot<00:00:51.870> Strider<00:00:52.200> does<00:00:52.590> not<00:00:52.980> move<00:00:53.880> like<00:00:53.910> this my robot Strider does not move like this my robot Strider does not move like this so<00:00:55.110> this<00:00:55.440> is<00:00:55.680> an<00:00:55.829> actual<00:00:55.980> dynamic<00:00:56.700> simulation so this is an actual dynamic simulation so this is an actual dynamic simulation animation<00:00:57.870> it's<00:00:58.020> going<00:00:58.170> to<00:00:58.260> show<00:00:58.410> you<00:00:58.470> how<00:00:58.739> the animation it's going to show you how the animation it's going to show you how the robot<00:00:59.340> works<00:00:59.370> it<00:00:59.730> flips<00:01:00.570> this<00:01:00.720> body<00:01:01.020> 180 robot works it flips this body 180 robot works it flips this body 180 degrees<00:01:01.890> its<00:01:02.300> swings<00:01:03.300> its<00:01:03.600> legs<00:01:03.840> between<00:01:04.049> the degrees its swings its legs between the degrees its swings its legs between the two<00:01:04.379> legs<00:01:04.559> and<00:01:04.710> catches<00:01:05.070> the<00:01:05.159> fall<00:01:05.369> so<00:01:05.549> that's two legs and catches the fall so that's two legs and catches the fall so that's how<00:01:05.909> it<00:01:06.060> walks<00:01:06.299> but<00:01:06.600> when<00:01:06.869> you<00:01:06.960> look<00:01:07.170> at<00:01:07.320> us how it walks but when you look at us how it walks but when you look at us human<00:01:07.860> being<00:01:08.100> bipedal<00:01:08.399> walking<00:01:09.030> what<00:01:09.600> you're human being bipedal walking what you're human being bipedal walking what you're doing<00:01:10.020> is<00:01:10.140> you're<00:01:10.350> not<00:01:10.380> really<00:01:10.770> using<00:01:11.100> a doing is you're not really using a doing is you're not really using a muscle<00:01:11.369> to<00:01:11.640> lift<00:01:11.909> your<00:01:12.119> leg<00:01:12.329> and<00:01:12.360> do<00:01:12.719> like<00:01:12.899> and muscle to lift your leg and do like and muscle to lift your leg and do like and walk<00:01:13.350> like<00:01:13.380> a<00:01:13.680> robot<00:01:13.799> right<00:01:14.640> what<00:01:15.120> you're walk like a robot right what you're walk like a robot right what you're doing<00:01:15.479> is<00:01:15.570> you<00:01:15.690> really<00:01:15.960> swing<00:01:16.680> your<00:01:16.920> leg<00:01:17.130> and doing is you really swing your leg and doing is you really swing your leg and catch<00:01:17.610> the<00:01:17.850> ball<00:01:18.060> stand<00:01:18.390> up<00:01:18.630> again<00:01:18.900> swing<00:01:19.409> your catch the ball stand up again swing your catch the ball stand up again swing your leg<00:01:19.770> and<00:01:19.890> cast<00:01:20.159> a<00:01:20.280> fall<00:01:20.460> you're<00:01:20.909> using<00:01:21.120> your leg and cast a fall you're using your leg and cast a fall you're using your built-in<00:01:21.900> dynamics<00:01:22.590> the<00:01:22.710> physics<00:01:23.100> of<00:01:23.280> your built-in dynamics the physics of your built-in dynamics the physics of your body<00:01:23.610> just<00:01:24.150> like<00:01:24.360> a<00:01:24.420> pendulum<00:01:24.780> we<00:01:25.650> call<00:01:25.920> that body just like a pendulum we call that body just like a pendulum we call that the<00:01:26.130> concept<00:01:26.670> of<00:01:26.790> passive<00:01:27.540> dynamic the concept of passive dynamic the concept of passive dynamic locomotion<00:01:28.860> what<00:01:29.310> you're<00:01:29.460> doing<00:01:29.670> is<00:01:29.820> when<00:01:30.510> you locomotion what you're doing is when you locomotion what you're doing is when you stand<00:01:30.960> up<00:01:31.110> potential<00:01:31.830> energy<00:01:32.159> to<00:01:32.400> kinetic stand up potential energy to kinetic stand up potential energy to kinetic energy<00:01:33.180> potential<00:01:33.659> energy<00:01:33.869> killing<00:01:34.470> energy energy potential energy killing energy energy potential energy killing energy and<00:01:35.400> it's<00:01:35.610> a<00:01:35.760> constantly<00:01:36.270> falling<00:01:36.510> process<00:01:37.380> so and it's a constantly falling process so and it's a constantly falling process so even<00:01:38.040> though<00:01:38.159> there's<00:01:38.340> nothing<00:01:38.580> in<00:01:38.880> nature even though there's nothing in nature even though there's nothing in nature that<00:01:39.330> looks<00:01:39.540> like<00:01:39.720> this<00:01:39.960> really<00:01:40.770> we're that looks like this really we're that looks like this really we're inspired<00:01:41.430> by<00:01:41.610> biology<00:01:41.850> and<00:01:42.479> applying<00:01:43.229> the inspired by biology and applying the inspired by biology and applying the principles<00:01:44.010> of<00:01:44.130> walking<00:01:44.610> to<00:01:44.820> this<00:01:44.939> robot<00:01:45.240> thus principles of walking to this robot thus principles of walking to this robot thus is<00:01:45.840> a<00:01:45.869> biologically<00:01:46.560> inspired<00:01:46.830> robot<00:01:47.640> what is a biologically inspired robot what is a biologically inspired robot what you<00:01:48.119> see<00:01:48.270> over<00:01:48.450> here<00:01:48.479> this<00:01:48.750> is<00:01:48.810> what<00:01:49.020> we<00:01:49.080> want you see over here this is what we want you see over here this is what we want to<00:01:49.260> do<00:01:49.350> next<00:01:49.590> we<00:01:50.280> want<00:01:50.400> to<00:01:50.490> fold<00:01:50.700> up<00:01:50.939> the<00:01:51.119> legs to do next we want to fold up the legs to do next we want to fold up the legs and<00:01:51.600> shoot<00:01:52.290> it<00:01:52.409> up<00:01:52.470> for<00:01:52.680> long-range<00:01:52.860> motion and shoot it up for long-range motion and shoot it up for long-range motion and<00:01:53.700> it<00:01:54.180> deploys<00:01:54.509> legs<00:01:54.840> it<00:01:55.080> looks<00:01:55.409> almost<00:01:55.590> like and it deploys legs it looks almost like and it deploys legs it looks almost like Star<00:01:56.100> Wars<00:01:56.130> when<00:01:56.610> it<00:01:56.729> lands<00:01:57.090> it<00:01:57.240> absorbs<00:01:57.840> the Star Wars when it lands it absorbs the Star Wars when it lands it absorbs the shock<00:01:57.930> and<00:01:58.320> starts<00:01:58.590> walking<00:01:58.890> what<00:01:59.670> you<00:01:59.759> see shock and starts walking what you see shock and starts walking what you see over<00:01:59.939> here<00:02:00.090> this<00:02:00.330> yellow<00:02:00.570> thing<00:02:00.630> this<00:02:00.869> is<00:02:01.020> not over here this yellow thing this is not over here this yellow thing this is not a<00:02:01.530> death<00:02:01.740> ray<00:02:02.009> this<00:02:02.610> is<00:02:02.790> a<00:02:02.820> just<00:02:03.420> to<00:02:03.509> show<00:02:03.689> you a death ray this is a just to show you a death ray this is a just to show you that<00:02:03.990> if<00:02:04.170> you<00:02:04.290> have<00:02:04.380> cameras<00:02:04.950> of<00:02:05.070> different that if you have cameras of different that if you have cameras of different type<00:02:05.460> of<00:02:05.490> sensors<00:02:05.970> because<00:02:06.540> it<00:02:06.720> is<00:02:06.869> tall<00:02:07.079> it's type of sensors because it is tall it's type of sensors because it is tall it's 1.8<00:02:07.770> meters<00:02:08.039> tall<00:02:08.220> you<00:02:08.519> can<00:02:08.549> see<00:02:08.879> over 1.8 meters tall you can see over 1.8 meters tall you can see over obstacles<00:02:09.599> and<00:02:09.689> bushes<00:02:10.019> and<00:02:10.140> those<00:02:10.259> kind<00:02:10.500> of obstacles and bushes and those kind of obstacles and bushes and those kind of things<00:02:10.939> so<00:02:11.939> we<00:02:12.060> have<00:02:12.209> two<00:02:12.510> prototypes<00:02:13.470> the things so we have two prototypes the things so we have two prototypes the first<00:02:14.010> version<00:02:14.819> in<00:02:15.299> the<00:02:15.450> back<00:02:15.659> that's<00:02:15.989> Strider first version in the back that's Strider first version in the back that's Strider one<00:02:16.530> the<00:02:16.799> one<00:02:16.950> in<00:02:16.980> the<00:02:17.189> front<00:02:17.370> the<00:02:17.430> smaller one the one in the front the smaller one the one in the front the smaller Strider<00:02:18.120> -<00:02:18.390> the<00:02:18.930> problem<00:02:19.260> that<00:02:19.380> we<00:02:19.470> had<00:02:19.620> with Strider - the problem that we had with Strider - the problem that we had with Strider<00:02:20.099> one<00:02:20.340> is<00:02:20.489> was<00:02:20.880> just<00:02:21.120> too<00:02:21.270> heavy<00:02:21.480> in<00:02:21.690> the Strider one is was just too heavy in the Strider one is was just too heavy in the body<00:02:21.989> we<00:02:22.170> had<00:02:22.260> sown body we had sown body we had sown mortars<00:02:23.379> you<00:02:23.830> know<00:02:23.950> aligning<00:02:24.430> the<00:02:24.550> joints<00:02:24.879> and mortars you know aligning the joints and mortars you know aligning the joints and those<00:02:25.120> kind<00:02:25.330> of<00:02:25.360> things<00:02:25.569> so<00:02:25.989> we<00:02:26.140> decided<00:02:26.530> to those kind of things so we decided to those kind of things so we decided to synthesize<00:02:27.730> a<00:02:28.000> mechanical<00:02:28.720> mechanism<00:02:28.930> so<00:02:29.650> I synthesize a mechanical mechanism so I synthesize a mechanical mechanism so I can<00:02:29.860> get<00:02:30.129> rid<00:02:30.310> of<00:02:30.370> all<00:02:30.550> the<00:02:30.700> motors<00:02:31.000> and<00:02:31.150> with<00:02:31.300> a can get rid of all the motors and with a can get rid of all the motors and with a single<00:02:31.690> motor<00:02:31.930> we<00:02:32.500> can<00:02:32.650> coordinate<00:02:33.069> all<00:02:33.190> the single motor we can coordinate all the single motor we can coordinate all the motions<00:02:33.760> this<00:02:33.879> be<00:02:34.300> kind<00:02:34.450> of<00:02:34.510> a<00:02:34.569> solution<00:02:34.840> to<00:02:35.140> a motions this be kind of a solution to a motions this be kind of a solution to a problem<00:02:35.260> instead<00:02:35.830> of<00:02:35.950> using<00:02:36.099> mechatronics<00:02:36.970> so problem instead of using mechatronics so problem instead of using mechatronics so with<00:02:37.720> this<00:02:37.870> now<00:02:38.140> the<00:02:38.200> top<00:02:38.620> part<00:02:38.800> is<00:02:38.950> are<00:02:39.280> light with this now the top part is are light with this now the top part is are light enough<00:02:39.640> so<00:02:39.940> it's<00:02:40.060> walked<00:02:40.299> in<00:02:40.480> our<00:02:40.599> lab<00:02:40.810> this<00:02:40.989> is enough so it's walked in our lab this is enough so it's walked in our lab this is our<00:02:41.470> very<00:02:41.709> first<00:02:41.769> successful<00:02:42.640> step<00:02:42.879> it's our very first successful step it's our very first successful step it's still<00:02:43.930> not<00:02:44.140> perfected<00:02:44.530> it<00:02:44.769> Coffee<00:02:45.010> falls<00:02:45.400> down still not perfected it Coffee falls down still not perfected it Coffee falls down so<00:02:45.879> we<00:02:46.000> still<00:02:46.269> have<00:02:46.690> a<00:02:46.720> lot<00:02:46.930> of<00:02:46.959> work<00:02:47.170> to<00:02:47.319> do<00:02:47.760> the so we still have a lot of work to do the so we still have a lot of work to do the second<00:02:49.150> robot<00:02:49.299> I<00:02:49.390> want<00:02:49.569> to<00:02:49.629> talk<00:02:49.750> about<00:02:49.900> is second robot I want to talk about is second robot I want to talk about is called<00:02:50.260> impasse<00:02:50.980> it<00:02:51.250> stands<00:02:51.610> for<00:02:51.959> intelligent called impasse it stands for intelligent called impasse it stands for intelligent mobility<00:02:53.530> platform<00:02:53.769> with<00:02:54.129> actuated<00:02:54.700> spoke mobility platform with actuated spoke mobility platform with actuated spoke system<00:02:55.299> so<00:02:56.019> it's<00:02:56.290> a<00:02:56.440> wheel<00:02:56.799> leg<00:02:57.190> hybrid<00:02:57.970> robot system so it's a wheel leg hybrid robot system so it's a wheel leg hybrid robot so<00:02:58.540> think<00:02:58.780> of<00:02:58.959> a<00:02:59.170> rimless<00:02:59.410> wheel<00:03:00.400> or<00:03:00.640> a<00:03:00.670> spoke so think of a rimless wheel or a spoke so think of a rimless wheel or a spoke wheel<00:03:01.680> but<00:03:02.680> the<00:03:02.709> spokes<00:03:03.130> individually<00:03:03.819> move wheel but the spokes individually move wheel but the spokes individually move in<00:03:04.329> and<00:03:04.630> out<00:03:04.780> of<00:03:04.930> the<00:03:05.110> hub<00:03:05.319> so<00:03:05.620> it's<00:03:05.920> a<00:03:06.099> wheel in and out of the hub so it's a wheel in and out of the hub so it's a wheel leg<00:03:06.700> hybrid<00:03:07.390> we're<00:03:07.690> literally<00:03:08.140> reinventing leg hybrid we're literally reinventing leg hybrid we're literally reinventing the<00:03:09.220> wheel<00:03:09.370> here<00:03:09.670> let<00:03:10.030> me<00:03:10.060> show<00:03:10.150> how<00:03:10.360> it the wheel here let me show how it the wheel here let me show how it demonstrate<00:03:11.349> how<00:03:11.440> it<00:03:11.560> works<00:03:11.590> so<00:03:12.400> in<00:03:12.610> this demonstrate how it works so in this demonstrate how it works so in this video<00:03:13.000> we're<00:03:13.420> using<00:03:13.599> an<00:03:13.840> approach<00:03:14.110> called<00:03:14.410> a video we're using an approach called a video we're using an approach called a reactive<00:03:15.220> approach<00:03:15.420> just<00:03:16.420> simply<00:03:16.690> using<00:03:16.930> the reactive approach just simply using the reactive approach just simply using the tactile<00:03:17.560> sensors<00:03:18.129> on<00:03:18.250> the<00:03:18.519> feet<00:03:18.790> it's<00:03:19.269> trying tactile sensors on the feet it's trying tactile sensors on the feet it's trying to<00:03:19.780> walk<00:03:20.079> over<00:03:20.379> a<00:03:20.620> changing<00:03:21.579> terrain<00:03:21.879> a<00:03:21.910> soft to walk over a changing terrain a soft to walk over a changing terrain a soft terrain<00:03:22.480> where<00:03:22.750> it<00:03:22.870> then<00:03:23.290> pushes<00:03:23.620> down<00:03:23.769> a terrain where it then pushes down a terrain where it then pushes down a changes<00:03:24.430> and<00:03:24.610> just<00:03:24.640> by<00:03:25.299> the<00:03:25.360> tactile changes and just by the tactile changes and just by the tactile information<00:03:26.620> it<00:03:26.769> successfully<00:03:27.639> crosses<00:03:28.299> over information it successfully crosses over information it successfully crosses over these<00:03:28.660> type<00:03:28.900> of<00:03:28.930> train<00:03:29.290> but<00:03:29.950> when<00:03:30.549> it these type of train but when it these type of train but when it encounters<00:03:31.569> a<00:03:31.750> very<00:03:32.109> extreme<00:03:32.829> terrain<00:03:33.100> in encounters a very extreme terrain in encounters a very extreme terrain in this<00:03:33.790> case<00:03:34.090> this<00:03:34.810> obstacle<00:03:35.260> is<00:03:35.470> more<00:03:35.829> than this case this obstacle is more than this case this obstacle is more than three<00:03:36.489> times<00:03:36.880> at<00:03:37.090> the<00:03:37.180> height<00:03:37.389> of<00:03:37.420> the<00:03:37.660> robot three times at the height of the robot three times at the height of the robot then<00:03:38.410> it<00:03:38.530> switches<00:03:38.769> to<00:03:39.010> a<00:03:39.040> deliberate<00:03:39.670> mode then it switches to a deliberate mode then it switches to a deliberate mode where<00:03:40.540> it<00:03:40.660> uses<00:03:40.810> a<00:03:40.959> laser<00:03:41.260> rangefinder<00:03:41.739> and where it uses a laser rangefinder and where it uses a laser rangefinder and camera<00:03:42.670> systems<00:03:43.060> to<00:03:43.510> identify<00:03:43.540> the<00:03:44.139> obstacle camera systems to identify the obstacle camera systems to identify the obstacle on<00:03:44.680> the<00:03:44.769> sides<00:03:45.010> and<00:03:45.220> it<00:03:45.609> plans<00:03:46.030> carefully on the sides and it plans carefully on the sides and it plans carefully plans<00:03:47.049> the<00:03:47.260> motion<00:03:47.650> of<00:03:47.739> the<00:03:47.829> spokes<00:03:48.130> and plans the motion of the spokes and plans the motion of the spokes and coordinates<00:03:48.760> it<00:03:48.910> so<00:03:49.269> that<00:03:49.450> it<00:03:49.569> can<00:03:49.690> show<00:03:49.840> this coordinates it so that it can show this coordinates it so that it can show this kind<00:03:50.260> of<00:03:50.380> very<00:03:50.829> very<00:03:51.069> impressive<00:03:51.459> mobility kind of very very impressive mobility kind of very very impressive mobility you<00:03:52.030> probably<00:03:52.269> haven't<00:03:52.419> seen<00:03:52.630> anything<00:03:52.870> like you probably haven't seen anything like you probably haven't seen anything like this<00:03:53.290> out<00:03:53.530> there<00:03:53.739> this<00:03:53.889> is<00:03:54.010> a<00:03:54.040> very<00:03:54.780> high this out there this is a very high this out there this is a very high mobility<00:03:56.049> robot<00:03:56.470> that<00:03:56.620> we<00:03:56.709> developed<00:03:57.040> called mobility robot that we developed called mobility robot that we developed called impasse<00:03:57.730> ah<00:03:59.760> is<00:04:00.760> that<00:04:01.030> cool<00:04:01.299> ah<00:04:01.709> when<00:04:02.709> you impasse ah is that cool ah when you impasse ah is that cool ah when you drive<00:04:03.340> your<00:04:03.639> car<00:04:04.139> when<00:04:05.139> you<00:04:05.169> steer<00:04:05.530> your<00:04:05.620> car drive your car when you steer your car drive your car when you steer your car you<00:04:06.099> use<00:04:06.190> a<00:04:06.220> method<00:04:06.579> called<00:04:06.790> akmed<00:04:07.569> steering you use a method called akmed steering you use a method called akmed steering yuuna<00:04:08.490> for<00:04:08.670> the<00:04:08.910> front<00:04:09.150> wheels<00:04:09.360> rotate<00:04:10.020> like yuuna for the front wheels rotate like yuuna for the front wheels rotate like this<00:04:10.350> for<00:04:11.010> both<00:04:11.190> of<00:04:11.370> the<00:04:11.460> small<00:04:11.790> you<00:04:12.480> know this for both of the small you know this for both of the small you know wheeled<00:04:12.900> robot<00:04:13.290> they<00:04:13.440> use<00:04:13.620> a<00:04:13.650> method<00:04:14.040> called wheeled robot they use a method called wheeled robot they use a method called differential<00:04:15.090> stirring<00:04:15.540> where<00:04:15.690> the<00:04:15.780> left<00:04:16.020> and differential stirring where the left and differential stirring where the left and right<00:04:16.320> wheels<00:04:16.590> turn<00:04:17.160> the<00:04:17.280> opposite<00:04:17.610> direction right wheels turn the opposite direction right wheels turn the opposite direction for<00:04:18.510> impasse<00:04:19.020> because<00:04:19.560> of<00:04:19.860> many<00:04:20.070> many for impasse because of many many for impasse because of many many different<00:04:20.340> types<00:04:20.730> of<00:04:20.940> motion<00:04:21.540> for<00:04:21.690> example<00:04:21.810> in different types of motion for example in different types of motion for example in this<00:04:22.260> case<00:04:22.500> even<00:04:22.830> the<00:04:22.920> left<00:04:23.100> and<00:04:23.310> right<00:04:23.460> wheel this case even the left and right wheel this case even the left and right wheel is<00:04:23.880> connected<00:04:24.300> with<00:04:24.390> a<00:04:24.450> single<00:04:24.780> axle<00:04:25.230> rotating is connected with a single axle rotating is connected with a single axle rotating same<00:04:25.950> angular<00:04:26.160> velocity<00:04:26.700> we<00:04:27.210> just<00:04:27.390> simply same angular velocity we just simply same angular velocity we just simply change<00:04:27.990> the<00:04:28.110> length<00:04:28.320> of<00:04:28.470> the<00:04:28.560> scope<00:04:28.830> affected change the length of the scope affected change the length of the scope affected diameter<00:04:30.120> and<00:04:30.330> then<00:04:30.480> you<00:04:30.540> get<00:04:30.660> turned<00:04:30.810> to<00:04:31.020> left diameter and then you get turned to left diameter and then you get turned to left but<00:04:31.470> to<00:04:31.650> right<00:04:31.800> so<00:04:31.980> these<00:04:32.100> are<00:04:32.160> just<00:04:32.340> some but to right so these are just some but to right so these are just some examples<00:04:32.850> of<00:04:33.420> the<00:04:33.510> neat<00:04:33.660> things<00:04:33.930> that<00:04:34.020> we<00:04:34.200> can examples of the neat things that we can examples of the neat things that we can do<00:04:34.560> with<00:04:34.740> impasse<00:04:35.660> this<00:04:36.660> robot<00:04:37.080> is<00:04:37.230> called do with impasse this robot is called do with impasse this robot is called climber<00:04:37.950> cable<00:04:38.850> suspended<00:04:39.000> limp<00:04:39.570> intelligent climber cable suspended limp intelligent climber cable suspended limp intelligent matching<00:04:40.500> behavior<00:04:40.950> robot<00:04:41.340> so<00:04:42.000> I've<00:04:42.270> been matching behavior robot so I've been matching behavior robot so I've been talking<00:04:42.600> to<00:04:42.930> a<00:04:42.960> lot<00:04:43.050> of<00:04:43.260> NASA<00:04:43.650> JPL<00:04:44.160> scientists talking to a lot of NASA JPL scientists talking to a lot of NASA JPL scientists at<00:04:45.060> JPL<00:04:45.420> they're<00:04:45.540> famous<00:04:45.690> for<00:04:45.810> the<00:04:45.990> Mars at JPL they're famous for the Mars at JPL they're famous for the Mars rovers<00:04:46.680> and<00:04:46.830> decide<00:04:47.460> this<00:04:47.610> geologists<00:04:48.240> always rovers and decide this geologists always rovers and decide this geologists always tells<00:04:48.840> me<00:04:49.020> that<00:04:49.230> the<00:04:49.770> real<00:04:50.100> interesting tells me that the real interesting tells me that the real interesting science<00:04:51.420> the<00:04:51.540> science<00:04:51.870> recites<00:04:52.320> are<00:04:52.710> always science the science recites are always science the science recites are always at<00:04:53.340> the<00:04:53.460> cliffs<00:04:53.850> but<00:04:54.360> the<00:04:54.480> recurrent<00:04:55.020> Rovers at the cliffs but the recurrent Rovers at the cliffs but the recurrent Rovers cannot<00:04:55.560> get<00:04:55.710> there<00:04:55.860> so<00:04:55.980> inspired<00:04:56.430> by<00:04:56.520> that<00:04:56.640> we cannot get there so inspired by that we cannot get there so inspired by that we want<00:04:57.240> to<00:04:57.390> build<00:04:57.540> a<00:04:57.780> robot<00:04:58.200> that<00:04:58.440> can<00:04:59.130> climb want to build a robot that can climb want to build a robot that can climb instructor<00:05:00.780> cliff<00:05:01.350> environment<00:05:01.860> so<00:05:01.950> this<00:05:02.100> is instructor cliff environment so this is instructor cliff environment so this is climber<00:05:02.670> so<00:05:03.000> what<00:05:03.390> it<00:05:03.510> does<00:05:03.690> it<00:05:03.900> has<00:05:04.050> three climber so what it does it has three climber so what it does it has three legs<00:05:04.530> it<00:05:04.770> probably<00:05:05.010> can't<00:05:05.160> it's<00:05:05.280> difficult<00:05:05.670> to legs it probably can't it's difficult to legs it probably can't it's difficult to see<00:05:05.820> but<00:05:05.970> has<00:05:06.090> a<00:05:06.120> winch<00:05:06.420> and<00:05:06.510> a<00:05:06.630> cable<00:05:06.960> on<00:05:07.020> the see but has a winch and a cable on the see but has a winch and a cable on the top<00:05:07.350> I<00:05:07.620> try<00:05:08.310> to<00:05:08.370> figure<00:05:08.640> out<00:05:08.820> the<00:05:08.970> best<00:05:09.150> place top I try to figure out the best place top I try to figure out the best place to<00:05:09.570> put<00:05:09.990> its<00:05:10.140> foot<00:05:10.440> and<00:05:10.680> then<00:05:11.280> once<00:05:11.430> it<00:05:11.520> figures to put its foot and then once it figures to put its foot and then once it figures that<00:05:11.880> out<00:05:11.910> in<00:05:12.270> real<00:05:12.780> time<00:05:13.080> it<00:05:13.230> calculates<00:05:13.770> the that out in real time it calculates the that out in real time it calculates the force<00:05:14.340> distribution<00:05:15.180> how<00:05:15.720> much<00:05:15.930> force<00:05:16.260> it force distribution how much force it force distribution how much force it needs<00:05:16.500> to<00:05:16.800> exert<00:05:16.980> to<00:05:17.310> the<00:05:17.400> surface<00:05:17.850> so<00:05:18.240> it needs to exert to the surface so it needs to exert to the surface so it doesn't<00:05:18.360> tip<00:05:18.630> and<00:05:19.080> doesn't<00:05:19.500> slip<00:05:19.680> once<00:05:20.370> it doesn't tip and doesn't slip once it doesn't tip and doesn't slip once it stabilizes<00:05:20.670> that<00:05:21.120> lifts<00:05:21.720> a<00:05:21.810> foot<00:05:22.050> and<00:05:22.230> then stabilizes that lifts a foot and then stabilizes that lifts a foot and then with<00:05:22.650> the<00:05:22.740> winch<00:05:22.950> we<00:05:23.400> can<00:05:23.550> climb<00:05:23.850> up<00:05:24.060> these with the winch we can climb up these with the winch we can climb up these kind<00:05:24.510> of<00:05:24.570> fun<00:05:25.310> also<00:05:26.310> for<00:05:26.550> search<00:05:26.910> on<00:05:27.090> rescue kind of fun also for search on rescue kind of fun also for search on rescue applications<00:05:28.140> as<00:05:28.260> well<00:05:28.440> five<00:05:29.010> years<00:05:29.040> ago applications as well five years ago applications as well five years ago actually<00:05:29.670> worked<00:05:30.120> at<00:05:30.270> NASA<00:05:30.390> JPL<00:05:30.780> during<00:05:31.350> the actually worked at NASA JPL during the actually worked at NASA JPL during the summer<00:05:31.710> as<00:05:31.830> a<00:05:31.920> faculty<00:05:32.130> fellow<00:05:32.580> and<00:05:32.880> they summer as a faculty fellow and they summer as a faculty fellow and they already<00:05:33.720> had<00:05:33.990> a<00:05:34.020> tour<00:05:34.290> of<00:05:34.320> a<00:05:34.470> six-legged<00:05:34.950> robot already had a tour of a six-legged robot already had a tour of a six-legged robot car<00:05:35.640> a<00:05:35.880> lemur<00:05:36.300> so<00:05:36.510> this<00:05:36.690> is<00:05:36.780> actually<00:05:37.050> based<00:05:37.200> on car a lemur so this is actually based on car a lemur so this is actually based on that<00:05:37.560> this<00:05:37.860> robot<00:05:38.250> is<00:05:38.340> called<00:05:38.520> Mars<00:05:38.910> multi that this robot is called Mars multi that this robot is called Mars multi appendage<00:05:39.930> robotic<00:05:40.350> system<00:05:40.710> so<00:05:41.070> it's<00:05:41.190> a appendage robotic system so it's a appendage robotic system so it's a hexapod<00:05:41.550> robot<00:05:41.730> we<00:05:42.450> developed<00:05:42.780> our<00:05:42.930> adaptive hexapod robot we developed our adaptive hexapod robot we developed our adaptive gait<00:05:43.860> planner<00:05:44.130> we<00:05:44.550> actually<00:05:44.820> have<00:05:44.940> a<00:05:44.970> very gait planner we actually have a very gait planner we actually have a very interesting<00:05:45.630> payload<00:05:46.170> on<00:05:46.290> there<00:05:46.500> the interesting payload on there the interesting payload on there the students<00:05:46.980> like<00:05:47.100> to<00:05:47.190> have<00:05:47.310> fun<00:05:47.520> and<00:05:47.760> here<00:05:48.060> you students like to have fun and here you students like to have fun and here you can<00:05:48.300> see<00:05:48.540> that<00:05:48.690> it's<00:05:48.840> walking<00:05:49.380> over can see that it's walking over can see that it's walking over unstructured<00:05:50.370> rain<00:05:50.850> it's<00:05:51.390> trying<00:05:51.750> to<00:05:51.870> walk<00:05:52.110> on unstructured rain it's trying to walk on unstructured rain it's trying to walk on the<00:05:52.980> coastal<00:05:53.520> plain<00:05:53.550> match<00:05:54.240> area<00:05:54.810> but the coastal plain match area but the coastal plain match area but depending<00:05:56.070> on<00:05:56.190> the<00:05:56.370> moisture<00:05:56.550> content depending on the moisture content depending on the moisture content for<00:05:57.589> the<00:05:57.709> size<00:05:57.949> of<00:05:58.309> the<00:05:58.550> grain<00:05:58.789> size<00:05:59.119> of<00:05:59.269> the for the size of the grain size of the for the size of the grain size of the sand<00:05:59.599> the<00:05:59.839> foots<00:06:00.409> soil<00:06:01.339> sink<00:06:01.550> each<00:06:01.639> model sand the foots soil sink each model sand the foots soil sink each model changes<00:06:02.330> so<00:06:02.509> it<00:06:02.599> tries<00:06:02.809> to<00:06:02.839> adapt<00:06:03.289> its<00:06:03.529> gait<00:06:03.830> to changes so it tries to adapt its gait to changes so it tries to adapt its gait to successfully<00:06:04.819> cross<00:06:05.209> over<00:06:05.569> these<00:06:05.689> kind<00:06:05.869> of successfully cross over these kind of successfully cross over these kind of things<00:06:06.110> it<00:06:06.469> also<00:06:06.679> does<00:06:07.159> some<00:06:07.369> fun<00:06:07.550> stuff<00:06:07.759> as things it also does some fun stuff as things it also does some fun stuff as can<00:06:08.269> imagine<00:06:08.659> we<00:06:08.749> get<00:06:08.899> so<00:06:09.259> many<00:06:09.709> visitors can imagine we get so many visitors can imagine we get so many visitors visiting<00:06:10.789> our<00:06:10.879> labs<00:06:11.119> so<00:06:11.330> when<00:06:11.479> the<00:06:11.599> visitors visiting our labs so when the visitors visiting our labs so when the visitors come<00:06:12.110> Mars<00:06:12.769> walks<00:06:13.039> up<00:06:13.189> to<00:06:13.219> the<00:06:13.369> computer come Mars walks up to the computer come Mars walks up to the computer starts<00:06:14.179> typing<00:06:14.479> hello<00:06:15.199> my<00:06:15.439> name<00:06:15.589> is<00:06:15.679> Mars starts typing hello my name is Mars starts typing hello my name is Mars welcome<00:06:16.550> to<00:06:16.729> Ramallah<00:06:17.269> the<00:06:17.509> ROI<00:06:17.629> some welcome to Ramallah the ROI some welcome to Ramallah the ROI some mechanisms<00:06:18.289> lavatory<00:06:18.679> at<00:06:18.800> Virginia<00:06:19.309> Tech mechanisms lavatory at Virginia Tech mechanisms lavatory at Virginia Tech this<00:06:22.039> robot<00:06:22.519> is<00:06:22.699> a<00:06:22.909> ameba<00:06:23.569> robot<00:06:23.929> now<00:06:24.139> we<00:06:24.199> don't this robot is a ameba robot now we don't this robot is a ameba robot now we don't have<00:06:24.619> enough<00:06:24.889> time<00:06:25.129> to<00:06:25.249> go<00:06:25.369> into<00:06:25.489> technical have enough time to go into technical have enough time to go into technical details<00:06:26.330> I'll<00:06:26.569> just<00:06:27.259> show<00:06:27.439> you<00:06:27.469> some<00:06:27.589> of<00:06:27.739> the details I'll just show you some of the details I'll just show you some of the experiments<00:06:28.489> so<00:06:28.849> this<00:06:29.029> is<00:06:29.089> all<00:06:29.209> over<00:06:29.300> the experiments so this is all over the experiments so this is all over the early<00:06:29.779> feasibility<00:06:29.989> experience<00:06:30.829> we<00:06:31.189> store early feasibility experience we store early feasibility experience we store potential<00:06:31.969> energy<00:06:32.239> to<00:06:32.389> the<00:06:32.479> elastic<00:06:33.079> skin<00:06:33.379> to potential energy to the elastic skin to potential energy to the elastic skin to make<00:06:33.649> it<00:06:33.709> move<00:06:33.979> or<00:06:34.309> use<00:06:34.789> active<00:06:35.539> tension make it move or use active tension make it move or use active tension course<00:06:36.110> when<00:06:36.229> they<00:06:36.319> can<00:06:36.469> move<00:06:36.619> forward<00:06:36.979> and course when they can move forward and course when they can move forward and backward backward backward it's<00:06:38.539> called<00:06:38.719> chimera<00:06:39.199> we<00:06:39.649> also<00:06:39.889> have<00:06:40.369> been it's called chimera we also have been it's called chimera we also have been working<00:06:41.029> with<00:06:41.209> some<00:06:41.419> scientists<00:06:42.079> and working with some scientists and working with some scientists and engineers<00:06:42.349> from<00:06:42.769> UPenn<00:06:43.189> to<00:06:43.399> come<00:06:43.639> up<00:06:43.759> with<00:06:43.879> a engineers from UPenn to come up with a engineers from UPenn to come up with a chemically<00:06:44.659> actuated<00:06:45.289> version<00:06:45.800> of<00:06:45.949> this<00:06:46.099> vive chemically actuated version of this vive chemically actuated version of this vive robot<00:06:46.879> we<00:06:47.689> do<00:06:47.899> something<00:06:48.469> to<00:06:48.649> something<00:06:49.129> and robot we do something to something and robot we do something to something and just<00:06:50.239> like<00:06:50.509> magic<00:06:50.899> it<00:06:51.319> moves<00:06:51.939> the<00:06:52.939> ball<00:06:54.459> this just like magic it moves the ball this just like magic it moves the ball this robot<00:06:55.819> is<00:06:55.909> a<00:06:55.969> very<00:06:56.149> recent<00:06:56.329> projects<00:06:56.959> called robot is a very recent projects called robot is a very recent projects called Raphael<00:06:57.739> robotic<00:06:58.249> air<00:06:58.399> powered<00:06:58.819> hand<00:06:59.029> with Raphael robotic air powered hand with Raphael robotic air powered hand with elastic<00:06:59.839> ligaments<00:07:00.349> there<00:07:01.069> are<00:07:01.189> a<00:07:01.219> lot<00:07:01.550> of elastic ligaments there are a lot of elastic ligaments there are a lot of really<00:07:02.029> neat<00:07:02.449> very<00:07:02.899> good<00:07:03.199> robotic<00:07:03.589> hands<00:07:03.769> out really neat very good robotic hands out really neat very good robotic hands out there<00:07:04.369> in<00:07:04.429> the<00:07:04.519> market<00:07:04.849> the<00:07:04.939> problem<00:07:05.269> is there in the market the problem is there in the market the problem is they're<00:07:05.569> just<00:07:05.599> too<00:07:06.139> expensive<00:07:06.319> tens<00:07:06.769> of they're just too expensive tens of they're just too expensive tens of thousands<00:07:07.309> of<00:07:07.369> dollars<00:07:07.759> so<00:07:07.939> for<00:07:08.839> prosthesis thousands of dollars so for prosthesis thousands of dollars so for prosthesis application<00:07:10.099> is<00:07:10.159> probably<00:07:10.339> not<00:07:10.610> too application is probably not too application is probably not too practical<00:07:10.999> because<00:07:11.449> it's<00:07:11.749> not<00:07:11.869> affordable<00:07:12.169> we practical because it's not affordable we practical because it's not affordable we want<00:07:13.279> to<00:07:13.429> go<00:07:13.610> a<00:07:13.959> tackle<00:07:14.959> this<00:07:15.050> problem<00:07:15.349> in<00:07:15.499> a want to go a tackle this problem in a want to go a tackle this problem in a very<00:07:15.589> different<00:07:16.069> direction<00:07:16.099> instead<00:07:16.759> of very different direction instead of very different direction instead of using<00:07:17.029> electrical<00:07:17.689> motors using electrical motors using electrical motors electromechanical<00:07:18.529> actuators<00:07:19.039> we're<00:07:19.819> using electromechanical actuators we're using electromechanical actuators we're using compressed<00:07:20.689> air<00:07:20.809> we<00:07:21.589> developed<00:07:21.889> these<00:07:21.949> novel compressed air we developed these novel compressed air we developed these novel actuators<00:07:22.969> for<00:07:22.999> the<00:07:23.240> joints<00:07:23.599> so<00:07:23.779> it's actuators for the joints so it's actuators for the joints so it's compliant<00:07:24.679> you<00:07:25.069> can<00:07:25.249> actually<00:07:25.490> change<00:07:25.849> the compliant you can actually change the compliant you can actually change the force<00:07:26.300> simply<00:07:26.689> just<00:07:27.019> changing<00:07:27.379> the<00:07:27.469> air force simply just changing the air force simply just changing the air pressure<00:07:27.979> and<00:07:28.309> it<00:07:28.669> can<00:07:28.789> actually<00:07:28.879> crush<00:07:29.300> an pressure and it can actually crush an pressure and it can actually crush an empty<00:07:29.809> soda<00:07:29.989> can<00:07:30.349> it<00:07:30.800> can<00:07:31.039> pick<00:07:31.550> up<00:07:31.699> very empty soda can it can pick up very empty soda can it can pick up very delicate<00:07:32.300> objects<00:07:32.749> like<00:07:33.199> a<00:07:33.229> raw<00:07:33.499> egg<00:07:33.739> or<00:07:34.009> in delicate objects like a raw egg or in delicate objects like a raw egg or in this<00:07:34.249> case<00:07:34.459> a<00:07:34.669> light<00:07:34.879> bulb<00:07:35.199> the<00:07:36.199> best<00:07:36.409> part<00:07:36.649> it this case a light bulb the best part it this case a light bulb the best part it took<00:07:37.399> only<00:07:37.550> $200<00:07:38.329> to<00:07:38.449> make<00:07:38.569> the<00:07:38.659> first took only $200 to make the first took only $200 to make the first prototype<00:07:40.389> this<00:07:41.389> robot<00:07:41.839> is<00:07:42.019> actually<00:07:42.199> a prototype this robot is actually a prototype this robot is actually a family<00:07:43.069> of<00:07:43.279> snake<00:07:43.639> robots<00:07:44.029> that<00:07:44.149> we<00:07:44.269> called family of snake robots that we called family of snake robots that we called hydras<00:07:45.110> hyper<00:07:45.469> degrees-of-freedom<00:07:45.860> robotic hydras hyper degrees-of-freedom robotic hydras hyper degrees-of-freedom robotic articulated<00:07:47.209> server<00:07:47.419> time<00:07:47.689> this<00:07:48.110> is<00:07:48.259> a<00:07:48.319> robot articulated server time this is a robot articulated server time this is a robot that<00:07:48.559> can<00:07:48.800> climb<00:07:48.939> structures<00:07:49.939> this<00:07:50.749> is<00:07:50.809> a that can climb structures this is a that can climb structures this is a hydras<00:07:51.739> arm<00:07:52.069> it's<00:07:52.309> a<00:07:52.369> total<00:07:52.699> degrees<00:07:52.939> of hydras arm it's a total degrees of hydras arm it's a total degrees of freedom<00:07:53.300> robotic<00:07:53.719> arm<00:07:53.959> but<00:07:54.619> the<00:07:54.739> cool<00:07:55.219> part<00:07:55.249> is freedom robotic arm but the cool part is freedom robotic arm but the cool part is the<00:07:55.699> user<00:07:55.939> interface<00:07:56.509> the<00:07:56.989> cable<00:07:57.529> over<00:07:57.709> there the user interface the cable over there the user interface the cable over there that's<00:07:58.519> the<00:07:58.639> optical<00:07:59.089> fiber<00:07:59.360> and<00:07:59.689> this that's the optical fiber and this that's the optical fiber and this student<00:08:00.139> probably<00:08:00.439> the<00:08:00.589> first<00:08:00.800> time<00:08:01.009> using<00:08:01.249> it student probably the first time using it student probably the first time using it but<00:08:01.610> you<00:08:01.759> can<00:08:01.879> articulate<00:08:02.389> it<00:08:02.539> in<00:08:02.569> many but you can articulate it in many but you can articulate it in many different<00:08:02.899> ways<00:08:03.199> so<00:08:04.009> for<00:08:04.249> example<00:08:04.639> in<00:08:04.699> the different ways so for example in the different ways so for example in the Iraq Iraq Iraq you<00:08:05.449> know<00:08:05.599> the<00:08:05.959> war<00:08:06.169> zone<00:08:06.409> there's<00:08:06.619> roadside you know the war zone there's roadside you know the war zone there's roadside bombs<00:08:07.369> currently<00:08:07.879> send<00:08:08.149> this<00:08:08.439> autonomous bombs currently send this autonomous bombs currently send this autonomous remotely<00:08:10.189> controlled remotely controlled remotely controlled with<00:08:11.149> our<00:08:11.240> arm<00:08:11.449> it<00:08:11.929> takes<00:08:12.199> really<00:08:12.529> a<00:08:12.559> lot<00:08:12.889> of with our arm it takes really a lot of with our arm it takes really a lot of time<00:08:13.279> and<00:08:13.459> expensive<00:08:13.939> to<00:08:14.059> train<00:08:14.330> the<00:08:14.419> operator time and expensive to train the operator time and expensive to train the operator to<00:08:15.080> operate<00:08:15.770> this<00:08:15.889> complex<00:08:16.339> arm<00:08:16.699> in<00:08:17.179> this<00:08:17.629> case to operate this complex arm in this case to operate this complex arm in this case it's<00:08:18.199> very<00:08:18.499> intuitive<00:08:18.800> this<00:08:19.399> student it's very intuitive this student it's very intuitive this student probably<00:08:20.029> first<00:08:20.300> I'm<00:08:20.449> using<00:08:20.629> it<00:08:20.839> very<00:08:21.709> complex probably first I'm using it very complex probably first I'm using it very complex manipulation<00:08:22.490> task<00:08:22.939> picking<00:08:23.449> up<00:08:23.689> objects<00:08:24.229> and manipulation task picking up objects and manipulation task picking up objects and doing<00:08:24.709> manipulation<00:08:25.309> just<00:08:25.909> like<00:08:26.059> that<00:08:26.270> very doing manipulation just like that very doing manipulation just like that very intuitive<00:08:29.289> now<00:08:30.289> this<00:08:30.740> robot<00:08:31.249> is<00:08:31.429> currently intuitive now this robot is currently intuitive now this robot is currently our<00:08:31.969> star<00:08:32.360> robot<00:08:32.750> we<00:08:32.839> actually<00:08:33.079> have<00:08:33.169> a<00:08:33.229> fan our star robot we actually have a fan our star robot we actually have a fan club<00:08:33.740> for<00:08:34.190> the<00:08:34.430> robot<00:08:34.699> Darwin<00:08:35.289> dynamic<00:08:36.289> and club for the robot Darwin dynamic and club for the robot Darwin dynamic and performing<00:08:37.009> robot<00:08:37.370> with<00:08:37.550> intelligence<00:08:38.209> as performing robot with intelligence as performing robot with intelligence as you<00:08:38.839> know<00:08:38.959> we're<00:08:39.259> very<00:08:39.289> interested<00:08:39.860> in you know we're very interested in you know we're very interested in humanoid<00:08:40.849> robot<00:08:41.419> human<00:08:41.930> walking<00:08:42.139> so<00:08:42.469> we humanoid robot human walking so we humanoid robot human walking so we decided<00:08:42.889> to<00:08:43.009> build<00:08:43.190> a<00:08:43.310> small<00:08:43.579> human<00:08:43.880> robot decided to build a small human robot decided to build a small human robot this<00:08:44.690> is<00:08:44.839> at<00:08:44.959> 2<00:08:45.110> in<00:08:45.290> 2004<00:08:45.980> at<00:08:46.100> that<00:08:46.279> time<00:08:46.459> this this is at 2 in 2004 at that time this this is at 2 in 2004 at that time this is<00:08:46.639> something<00:08:46.850> really<00:08:47.180> really<00:08:47.389> revolutionary is something really really revolutionary is something really really revolutionary this<00:08:48.800> was<00:08:48.980> more<00:08:49.250> of<00:08:49.279> a<00:08:49.430> feasibility<00:08:49.940> study this was more of a feasibility study this was more of a feasibility study what<00:08:50.540> kind<00:08:50.720> of<00:08:50.779> motors<00:08:51.079> should<00:08:51.230> use<00:08:51.470> is<00:08:52.069> it what kind of motors should use is it what kind of motors should use is it even<00:08:52.430> possible<00:08:52.459> what<00:08:53.089> kind<00:08:53.209> of<00:08:53.240> control even possible what kind of control even possible what kind of control should<00:08:53.750> he<00:08:53.839> do<00:08:53.990> so<00:08:54.470> this<00:08:54.709> does<00:08:54.980> not<00:08:55.250> have<00:08:55.459> any should he do so this does not have any should he do so this does not have any sensors<00:08:56.209> so<00:08:56.509> it's<00:08:56.660> an<00:08:56.720> open-loop<00:08:57.259> control<00:08:57.740> and sensors so it's an open-loop control and sensors so it's an open-loop control and for<00:08:58.910> those<00:08:59.000> who<00:08:59.149> probably<00:08:59.300> know<00:08:59.540> if<00:08:59.720> you<00:08:59.810> don't for those who probably know if you don't for those who probably know if you don't have<00:09:00.110> any<00:09:00.230> sensors<00:09:00.680> and<00:09:00.889> there's<00:09:01.279> any have any sensors and there's any have any sensors and there's any disturbances<00:09:02.240> you<00:09:02.480> know<00:09:02.630> what<00:09:02.779> happens<00:09:05.319> so disturbances you know what happens so disturbances you know what happens so based<00:09:06.680> on<00:09:06.920> that<00:09:07.160> success<00:09:07.610> in<00:09:07.850> the<00:09:07.940> following based on that success in the following based on that success in the following year<00:09:08.779> we<00:09:08.990> did<00:09:09.259> the<00:09:09.440> proper<00:09:09.819> mechanical<00:09:10.819> design year we did the proper mechanical design year we did the proper mechanical design starting<00:09:11.600> from<00:09:11.750> kinematics<00:09:11.990> and<00:09:12.529> thus<00:09:12.860> Darwin starting from kinematics and thus Darwin starting from kinematics and thus Darwin 1<00:09:13.759> was<00:09:14.000> born<00:09:14.329> in<00:09:14.449> 2005<00:09:15.019> it<00:09:15.290> stands<00:09:15.889> up<00:09:16.160> it<00:09:16.310> walks 1 was born in 2005 it stands up it walks 1 was born in 2005 it stands up it walks very<00:09:17.000> impressive<00:09:17.569> however<00:09:18.350> still<00:09:18.769> as<00:09:19.009> you<00:09:19.130> can very impressive however still as you can very impressive however still as you can see<00:09:19.490> it<00:09:19.699> has<00:09:19.819> a<00:09:19.850> cord<00:09:20.269> umbilical<00:09:20.420> cord<00:09:21.050> so see it has a cord umbilical cord so see it has a cord umbilical cord so you're<00:09:21.319> still<00:09:21.560> using<00:09:21.740> external<00:09:22.490> power<00:09:22.730> source you're still using external power source you're still using external power source and<00:09:23.240> our<00:09:23.750> external<00:09:24.110> computation<00:09:25.180> so<00:09:26.180> in<00:09:26.269> 2006 and our external computation so in 2006 and our external computation so in 2006 now<00:09:27.139> it's<00:09:27.800> really<00:09:28.069> time<00:09:28.189> to<00:09:28.579> have<00:09:28.730> fun now it's really time to have fun now it's really time to have fun let's<00:09:29.630> give<00:09:29.870> it<00:09:29.899> intelligence<00:09:30.709> we<00:09:31.009> give<00:09:31.189> all let's give it intelligence we give all let's give it intelligence we give all the<00:09:31.459> computing<00:09:31.970> power<00:09:32.120> needs<00:09:32.420> 1.5<00:09:33.079> g<00:09:33.259> yards the computing power needs 1.5 g yards the computing power needs 1.5 g yards pin<00:09:33.709> 2mm<00:09:33.980> chip<00:09:34.220> too<00:09:34.430> far<00:09:34.670> our<00:09:34.819> cameras<00:09:35.269> the pin 2mm chip too far our cameras the pin 2mm chip too far our cameras the rate<00:09:35.540> gyros<00:09:36.019> accelerometers<00:09:36.199> force<00:09:36.949> torque rate gyros accelerometers force torque rate gyros accelerometers force torque sensor<00:09:37.459> on<00:09:37.550> the<00:09:37.639> foot<00:09:37.790> beef<00:09:38.149> in<00:09:38.329> polymer sensor on the foot beef in polymer sensor on the foot beef in polymer batteries<00:09:39.050> and<00:09:39.230> now<00:09:39.680> Darwin<00:09:40.069> to<00:09:40.399> is batteries and now Darwin to is batteries and now Darwin to is completely<00:09:41.800> autonomous<00:09:42.829> it<00:09:43.040> is<00:09:43.790> not<00:09:44.149> remote completely autonomous it is not remote completely autonomous it is not remote controlled<00:09:44.930> there's<00:09:45.319> no<00:09:45.529> feathers controlled there's no feathers controlled there's no feathers it<00:09:46.310> looks<00:09:46.610> around<00:09:46.850> searches<00:09:47.240> for<00:09:47.569> the<00:09:47.689> ball it looks around searches for the ball it looks around searches for the ball looks<00:09:48.500> around<00:09:48.709> searches<00:09:48.920> for<00:09:49.160> the<00:09:49.250> ball<00:09:49.399> and looks around searches for the ball and looks around searches for the ball and it<00:09:49.880> tries<00:09:50.149> to<00:09:50.180> play<00:09:50.600> a<00:09:50.630> game<00:09:50.990> of<00:09:51.199> soccer it tries to play a game of soccer it tries to play a game of soccer autonomously<00:09:52.639> artificial<00:09:53.630> intelligence autonomously artificial intelligence autonomously artificial intelligence let's<00:09:55.130> see<00:09:55.310> how<00:09:55.430> it<00:09:55.550> does<00:09:55.759> this<00:09:56.089> was<00:09:56.300> our<00:09:56.420> very let's see how it does this was our very let's see how it does this was our very first<00:09:56.689> trial<00:09:57.170> and<00:10:02.649> so<00:10:03.649> there<00:10:04.279> is<00:10:04.370> actually<00:10:04.579> a first trial and so there is actually a first trial and so there is actually a competition<00:10:05.389> called<00:10:05.750> Robo<00:10:06.139> Club<00:10:06.380> I<00:10:06.439> don't competition called Robo Club I don't competition called Robo Club I don't know<00:10:06.680> how<00:10:06.829> many<00:10:07.189> of<00:10:07.310> you<00:10:07.339> heard<00:10:07.639> about<00:10:07.730> a know how many of you heard about a know how many of you heard about a Robocop<00:10:08.420> it's<00:10:08.660> in<00:10:09.139> a<00:10:09.819> international Robocop it's in a international Robocop it's in a international autonomous<00:10:11.959> robot<00:10:12.410> soccer<00:10:12.589> competition<00:10:13.339> and autonomous robot soccer competition and autonomous robot soccer competition and the<00:10:13.790> goal<00:10:14.089> of<00:10:14.480> Robocop<00:10:15.170> the<00:10:15.199> officer<00:10:15.649> goal<00:10:15.860> is the goal of Robocop the officer goal is the goal of Robocop the officer goal is by<00:10:16.490> the<00:10:16.550> year<00:10:16.970> 2050<00:10:17.810> we<00:10:18.589> want<00:10:18.860> to<00:10:18.980> have by the year 2050 we want to have by the year 2050 we want to have full-sized<00:10:20.350> autonomous<00:10:21.350> humanoid<00:10:21.769> robots full-sized autonomous humanoid robots full-sized autonomous humanoid robots play<00:10:22.519> soccer<00:10:22.880> against<00:10:23.149> the play soccer against the play soccer against the human<00:10:23.850> ruled<00:10:24.390> Cup<00:10:24.630> champions<00:10:25.080> and<00:10:25.230> win<00:10:26.330> it's<00:10:27.330> a human ruled Cup champions and win it's a human ruled Cup champions and win it's a true<00:10:27.780> offshore<00:10:28.260> goal<00:10:28.470> it's<00:10:28.770> a<00:10:28.980> very<00:10:29.190> ambitious true offshore goal it's a very ambitious true offshore goal it's a very ambitious goal<00:10:29.700> but<00:10:30.000> we<00:10:30.120> truly<00:10:30.450> believe<00:10:30.630> that<00:10:30.660> we<00:10:30.960> can<00:10:31.290> do goal but we truly believe that we can do goal but we truly believe that we can do it<00:10:31.740> so<00:10:32.010> this<00:10:32.760> is<00:10:32.820> a<00:10:32.970> last<00:10:33.390> year<00:10:33.600> in<00:10:33.720> China<00:10:34.020> we it so this is a last year in China we it so this is a last year in China we were<00:10:34.710> the<00:10:34.830> very<00:10:34.950> first<00:10:35.070> team<00:10:35.550> in<00:10:35.670> the<00:10:35.730> United were the very first team in the United were the very first team in the United States<00:10:36.120> that<00:10:36.210> qualified<00:10:36.690> in<00:10:36.840> the<00:10:36.900> humilate States that qualified in the humilate States that qualified in the humilate RoboCup<00:10:38.100> competition<00:10:38.820> this<00:10:39.210> is<00:10:39.420> this<00:10:39.660> year RoboCup competition this is this year RoboCup competition this is this year and<00:10:40.170> this<00:10:40.320> was<00:10:40.470> in<00:10:40.620> Austria<00:10:41.100> you<00:10:41.400> guys<00:10:41.790> see<00:10:41.970> the and this was in Austria you guys see the and this was in Austria you guys see the action<00:10:42.480> of<00:10:42.570> three<00:10:42.750> against<00:10:42.990> three<00:10:43.080> completely action of three against three completely action of three against three completely autonomous<00:10:44.930> Hey<00:10:45.960> yes<00:10:47.780> the<00:10:48.780> robots<00:10:49.200> back<00:10:49.590> and autonomous Hey yes the robots back and autonomous Hey yes the robots back and they<00:10:50.040> play<00:10:50.490> a<00:10:50.520> team<00:10:51.030> play<00:10:51.270> amongst<00:10:52.140> themselves they play a team play amongst themselves they play a team play amongst themselves it's<00:10:53.460> very<00:10:53.700> impressive<00:10:53.940> really<00:10:54.360> a<00:10:54.480> research it's very impressive really a research it's very impressive really a research event<00:10:55.590> package<00:10:56.220> in<00:10:56.430> a<00:10:56.970> more<00:10:57.870> exciting<00:10:58.440> in<00:10:58.860> a event package in a more exciting in a event package in a more exciting in a competition<00:10:59.370> event<00:10:59.820> what<00:11:00.360> you<00:11:00.510> see<00:11:00.690> over<00:11:00.930> here competition event what you see over here competition event what you see over here this<00:11:01.350> is<00:11:01.500> the<00:11:01.620> beautiful<00:11:01.980> Louis<00:11:02.550> Vuitton<00:11:02.940> Cup this is the beautiful Louis Vuitton Cup this is the beautiful Louis Vuitton Cup trophy<00:11:03.540> so<00:11:03.840> this<00:11:04.080> for<00:11:04.290> the<00:11:04.410> best<00:11:04.590> humanoid<00:11:05.010> and trophy so this for the best humanoid and trophy so this for the best humanoid and you'll<00:11:05.670> like<00:11:05.940> to<00:11:06.150> bring<00:11:06.390> this<00:11:06.570> for<00:11:06.810> the<00:11:06.870> very you'll like to bring this for the very you'll like to bring this for the very first<00:11:07.230> time<00:11:07.380> to<00:11:07.500> the<00:11:07.620> United<00:11:07.650> States<00:11:07.890> next first time to the United States next first time to the United States next year<00:11:08.460> so<00:11:08.610> wish<00:11:08.790> us<00:11:08.940> luck year so wish us luck year so wish us luck thank<00:11:10.020> you<00:11:13.820> Darwin<00:11:14.820> also<00:11:14.910> has<00:11:15.180> a<00:11:15.210> lot<00:11:15.450> of<00:11:15.570> other thank you Darwin also has a lot of other thank you Darwin also has a lot of other talents<00:11:16.320> last<00:11:16.680> year<00:11:17.070> it<00:11:17.730> actually<00:11:17.790> conducted talents last year it actually conducted talents last year it actually conducted the<00:11:18.720> Roanoke<00:11:19.140> Symphony<00:11:19.530> Orchestra<00:11:20.040> for<00:11:20.070> the the Roanoke Symphony Orchestra for the the Roanoke Symphony Orchestra for the the<00:11:21.480> holiday<00:11:21.900> concert<00:11:22.350> this<00:11:23.070> is<00:11:23.220> the<00:11:23.310> next the holiday concert this is the next the holiday concert this is the next generation<00:11:23.640> robot<00:11:24.480> Darwin<00:11:24.930> for<00:11:25.170> much<00:11:25.830> smarter generation robot Darwin for much smarter generation robot Darwin for much smarter faster<00:11:26.910> stronger<00:11:27.720> and<00:11:28.350> it's<00:11:29.010> trying<00:11:29.220> to<00:11:29.310> show faster stronger and it's trying to show faster stronger and it's trying to show off<00:11:29.580> its<00:11:29.970> ability<00:11:30.390> my<00:11:30.870> macho<00:11:31.200> I'm<00:11:31.590> strong off its ability my macho I'm strong off its ability my macho I'm strong alright<00:11:33.240> I<00:11:33.480> can<00:11:34.290> also<00:11:34.410> do<00:11:34.620> some<00:11:34.680> Jackie<00:11:35.160> Chan alright I can also do some Jackie Chan alright I can also do some Jackie Chan motion<00:11:36.390> you<00:11:36.570> know<00:11:36.690> martial<00:11:37.080> art<00:11:37.230> movements<00:11:40.940> it motion you know martial art movements it motion you know martial art movements it walks<00:11:42.180> away<00:11:42.330> so<00:11:42.690> this<00:11:42.990> is<00:11:43.110> darling<00:11:43.290> for<00:11:43.560> you walks away so this is darling for you walks away so this is darling for you again<00:11:43.920> you'll<00:11:44.100> be<00:11:44.130> able<00:11:44.310> to<00:11:44.460> see<00:11:44.580> in<00:11:44.640> the<00:11:44.730> lobby again you'll be able to see in the lobby again you'll be able to see in the lobby we<00:11:45.420> truly<00:11:45.660> believe<00:11:45.960> this<00:11:46.080> is<00:11:46.140> going<00:11:46.350> to<00:11:46.410> be<00:11:46.470> the we truly believe this is going to be the we truly believe this is going to be the very<00:11:46.770> first<00:11:46.860> running<00:11:47.790> human<00:11:48.120> robot<00:11:48.420> in<00:11:48.510> the very first running human robot in the very first running human robot in the United<00:11:48.840> States<00:11:49.020> so<00:11:49.140> it's<00:11:49.290> stay<00:11:49.470> tuned<00:11:50.000> alright United States so it's stay tuned alright United States so it's stay tuned alright so<00:11:51.150> I<00:11:51.180> showed<00:11:51.600> you<00:11:51.750> some<00:11:52.110> of<00:11:52.320> our<00:11:52.530> exciting so I showed you some of our exciting so I showed you some of our exciting robotics<00:11:53.700> work<00:11:53.940> so<00:11:54.180> what<00:11:54.720> what's<00:11:55.200> the<00:11:55.440> secret robotics work so what what's the secret robotics work so what what's the secret of<00:11:55.920> our<00:11:56.040> success<00:11:56.100> where<00:11:56.700> we<00:11:56.820> come<00:11:57.030> up<00:11:57.180> with of our success where we come up with of our success where we come up with these<00:11:57.450> ideas<00:11:57.720> how<00:11:58.230> do<00:11:58.290> we<00:11:58.380> develop<00:11:58.590> these<00:11:58.770> kind these ideas how do we develop these kind these ideas how do we develop these kind of<00:11:59.100> ideas<00:11:59.580> we<00:12:00.030> have<00:12:00.180> a<00:12:00.210> fully<00:12:00.750> autonomous of ideas we have a fully autonomous of ideas we have a fully autonomous vehicle<00:12:02.160> that<00:12:02.310> can<00:12:02.460> drive<00:12:02.910> in<00:12:03.120> the<00:12:03.210> urban vehicle that can drive in the urban vehicle that can drive in the urban environment<00:12:03.600> we<00:12:04.080> won<00:12:04.260> half<00:12:04.500> a<00:12:04.560> million environment we won half a million environment we won half a million dollars<00:12:05.100> in<00:12:05.220> dart<00:12:05.430> bourbon<00:12:05.700> challenge<00:12:06.060> we dollars in dart bourbon challenge we dollars in dart bourbon challenge we also<00:12:06.630> have<00:12:06.900> the<00:12:07.050> rules<00:12:07.320> very<00:12:07.710> first<00:12:08.160> vehicle also have the rules very first vehicle also have the rules very first vehicle that<00:12:09.030> can<00:12:09.420> be<00:12:09.510> driven<00:12:09.660> by<00:12:09.900> the<00:12:09.960> blind<00:12:10.290> called that can be driven by the blind called that can be driven by the blind called the<00:12:10.800> blind<00:12:11.010> driver<00:12:11.370> challenge<00:12:11.550> very<00:12:12.060> exciting the blind driver challenge very exciting the blind driver challenge very exciting and<00:12:12.690> many<00:12:13.110> many<00:12:13.320> other<00:12:14.000> robots<00:12:15.000> project<00:12:15.450> I and many many other robots project I and many many other robots project I want<00:12:15.600> to<00:12:15.660> talk<00:12:15.810> about<00:12:15.960> these<00:12:16.530> are<00:12:16.680> just<00:12:16.830> awards want to talk about these are just awards want to talk about these are just awards that<00:12:17.220> won<00:12:17.400> in<00:12:17.550> 2007<00:12:18.150> fall<00:12:18.570> from<00:12:18.930> robots that won in 2007 fall from robots that won in 2007 fall from robots competition<00:12:20.220> as<00:12:20.340> those<00:12:20.520> kind<00:12:20.760> of<00:12:20.790> things<00:12:20.970> so competition as those kind of things so competition as those kind of things so really<00:12:21.570> have<00:12:21.900> five<00:12:22.260> secrets<00:12:23.090> first<00:12:24.090> is<00:12:24.270> where really have five secrets first is where really have five secrets first is where do<00:12:24.960> we<00:12:25.050> get<00:12:25.230> inspiration<00:12:26.160> where<00:12:26.280> to<00:12:26.370> get<00:12:26.490> this do we get inspiration where to get this do we get inspiration where to get this a<00:12:26.820> spark<00:12:27.180> of<00:12:27.300> imagination<00:12:27.390> this<00:12:28.080> is<00:12:28.140> true a spark of imagination this is true a spark of imagination this is true story<00:12:28.710> my<00:12:28.890> personal<00:12:29.280> story<00:12:29.520> at<00:12:30.180> night<00:12:30.690> when<00:12:30.900> I story my personal story at night when I story my personal story at night when I go<00:12:31.080> to<00:12:31.140> bed<00:12:31.350> three<00:12:31.590> four<00:12:31.860> a.m.<00:12:32.040> in<00:12:32.070> the<00:12:32.190> morning go to bed three four a.m. in the morning go to bed three four a.m. in the morning I<00:12:32.610> lie<00:12:32.850> down<00:12:32.910> close<00:12:33.360> my<00:12:33.390> eyes<00:12:33.690> and<00:12:33.930> I<00:12:33.960> see<00:12:34.170> these I lie down close my eyes and I see these I lie down close my eyes and I see these lines<00:12:34.680> and<00:12:35.190> circles<00:12:35.490> and<00:12:35.880> different<00:12:36.210> shapes lines and circles and different shapes lines and circles and different shapes floating<00:12:36.900> around<00:12:36.990> and<00:12:37.290> they floating around and they floating around and they assemblé<00:12:37.950> and<00:12:38.130> they<00:12:38.610> form<00:12:38.880> different assemblé and they form different assemblé and they form different mechanisms<00:12:39.810> anyway<00:12:40.560> oh<00:12:40.740> this<00:12:41.070> is<00:12:41.190> cool<00:12:41.370> so mechanisms anyway oh this is cool so mechanisms anyway oh this is cool so right<00:12:42.330> next<00:12:42.600> to<00:12:42.660> my<00:12:42.750> bed<00:12:42.960> I<00:12:42.990> keep<00:12:43.350> a<00:12:43.500> notebook<00:12:43.530> a right next to my bed I keep a notebook a right next to my bed I keep a notebook a journal<00:12:44.850> with<00:12:45.240> a<00:12:45.270> special<00:12:45.690> pen<00:12:45.840> that<00:12:45.990> has<00:12:46.080> a journal with a special pen that has a journal with a special pen that has a light<00:12:46.380> on<00:12:46.560> it<00:12:46.680> LED<00:12:47.070> light<00:12:47.220> because<00:12:47.430> I<00:12:47.520> don't light on it LED light because I don't light on it LED light because I don't want<00:12:47.790> to<00:12:47.850> turn<00:12:47.940> on<00:12:48.030> the<00:12:48.120> light<00:12:48.270> and<00:12:48.450> wake<00:12:48.600> up<00:12:48.780> my want to turn on the light and wake up my want to turn on the light and wake up my wife wife wife so<00:12:49.770> why<00:12:49.890> I<00:12:49.920> say<00:12:50.070> this<00:12:50.190> i<00:12:50.220> scribble<00:12:50.640> everything so why I say this i scribble everything so why I say this i scribble everything down<00:12:51.210> draw<00:12:51.630> things<00:12:51.900> and<00:12:52.320> I<00:12:52.380> go<00:12:52.500> to<00:12:52.560> bed<00:12:52.740> every down draw things and I go to bed every down draw things and I go to bed every day<00:12:54.120> in<00:12:54.510> the<00:12:54.630> morning<00:12:54.960> the<00:12:55.320> first<00:12:55.530> thing<00:12:55.710> I<00:12:55.890> do day in the morning the first thing I do day in the morning the first thing I do before<00:12:56.430> my<00:12:56.550> first<00:12:56.790> cup<00:12:56.970> of<00:12:57.090> coffee<00:12:57.150> before<00:12:57.570> my before my first cup of coffee before my before my first cup of coffee before my brush<00:12:58.050> my<00:12:58.230> teeth<00:12:58.290> I<00:12:58.620> open<00:12:58.950> my<00:12:59.070> notebook<00:12:59.180> many brush my teeth I open my notebook many brush my teeth I open my notebook many times<00:13:00.450> it's<00:13:00.630> empty<00:13:01.020> sometimes<00:13:01.830> I<00:13:01.950> have times it's empty sometimes I have times it's empty sometimes I have something<00:13:02.430> there<00:13:02.580> if<00:13:02.730> something<00:13:02.940> that something there if something that something there if something that sometimes<00:13:03.420> is<00:13:03.660> junk<00:13:03.930> but<00:13:04.110> most<00:13:04.350> of<00:13:04.500> the<00:13:04.560> time<00:13:04.710> I sometimes is junk but most of the time I sometimes is junk but most of the time I can't<00:13:05.430> even<00:13:05.490> read<00:13:05.820> my<00:13:05.970> handwriting<00:13:06.300> it's<00:13:06.990> a<00:13:07.170> 4 can't even read my handwriting it's a 4 can't even read my handwriting it's a 4 a.m.<00:13:07.560> in<00:13:07.650> the<00:13:07.680> morning<00:13:08.070> what<00:13:08.220> do<00:13:08.280> you<00:13:08.340> expect a.m. in the morning what do you expect a.m. in the morning what do you expect right<00:13:08.880> so<00:13:09.300> I<00:13:09.330> need<00:13:09.630> to<00:13:09.720> decipher<00:13:10.290> what<00:13:10.320> I<00:13:10.500> wrote right so I need to decipher what I wrote right so I need to decipher what I wrote but<00:13:11.090> sometimes<00:13:12.090> I<00:13:12.300> see<00:13:12.570> this<00:13:12.690> ingenious<00:13:13.410> idea but sometimes I see this ingenious idea but sometimes I see this ingenious idea in<00:13:14.130> there<00:13:14.340> and<00:13:14.580> I<00:13:15.000> have<00:13:15.150> this<00:13:15.330> irika<00:13:15.660> moment<00:13:16.080> I in there and I have this irika moment I in there and I have this irika moment I directly<00:13:16.740> run<00:13:16.980> to<00:13:17.100> my<00:13:17.190> home<00:13:17.370> office<00:13:17.550> sit<00:13:17.880> in<00:13:17.970> my directly run to my home office sit in my directly run to my home office sit in my computer<00:13:18.480> I<00:13:18.510> type<00:13:18.810> into<00:13:19.050> ideas<00:13:19.440> and<00:13:19.800> sketch computer I type into ideas and sketch computer I type into ideas and sketch things<00:13:20.310> out<00:13:20.460> and<00:13:20.640> I<00:13:20.730> keep<00:13:21.000> a<00:13:21.180> database<00:13:21.570> of things out and I keep a database of things out and I keep a database of ideas<00:13:22.460> so<00:13:23.460> when<00:13:23.610> we<00:13:23.760> have<00:13:23.880> this<00:13:24.060> call<00:13:24.390> for ideas so when we have this call for ideas so when we have this call for proposals<00:13:24.840> I<00:13:25.590> try<00:13:26.130> to<00:13:26.190> find<00:13:26.460> a<00:13:26.580> match<00:13:26.790> between proposals I try to find a match between proposals I try to find a match between my<00:13:27.420> potential<00:13:28.140> ideas<00:13:28.770> and<00:13:29.130> the<00:13:29.490> problem<00:13:29.940> if my potential ideas and the problem if my potential ideas and the problem if there's<00:13:30.270> a<00:13:30.360> match<00:13:30.540> we<00:13:30.720> write<00:13:30.870> a<00:13:30.900> research there's a match we write a research there's a match we write a research proposal<00:13:31.380> get<00:13:32.100> the<00:13:32.190> research<00:13:32.460> funding<00:13:32.640> in<00:13:32.910> and proposal get the research funding in and proposal get the research funding in and that's<00:13:33.270> how<00:13:33.360> we<00:13:33.540> start<00:13:33.990> our<00:13:34.110> research that's how we start our research that's how we start our research programs<00:13:34.980> but<00:13:35.790> just<00:13:36.300> as<00:13:36.510> far<00:13:36.780> imagination<00:13:37.680> is programs but just as far imagination is programs but just as far imagination is not<00:13:37.920> good<00:13:38.190> enough<00:13:38.400> how<00:13:38.940> do<00:13:39.000> we<00:13:39.180> develop<00:13:39.450> these not good enough how do we develop these not good enough how do we develop these kind<00:13:39.930> of<00:13:39.960> ideas<00:13:40.350> at<00:13:40.860> our<00:13:41.040> lab<00:13:41.250> Romola<00:13:41.730> the kind of ideas at our lab Romola the kind of ideas at our lab Romola the robots<00:13:42.270> of<00:13:42.390> mechanisms<00:13:42.750> laboratory<00:13:43.140> we<00:13:43.440> have robots of mechanisms laboratory we have robots of mechanisms laboratory we have this<00:13:43.800> fantastic<00:13:44.730> brainstorming<00:13:45.720> session<00:13:46.110> so this fantastic brainstorming session so this fantastic brainstorming session so we<00:13:46.470> gather<00:13:46.950> around<00:13:47.160> we<00:13:47.490> discuss<00:13:47.910> about we gather around we discuss about we gather around we discuss about problems<00:13:48.510> and<00:13:48.630> social<00:13:48.810> problems<00:13:49.350> and<00:13:49.650> talk problems and social problems and talk problems and social problems and talk about<00:13:50.040> it<00:13:50.280> but<00:13:50.790> we<00:13:50.970> before<00:13:51.390> we<00:13:51.480> start<00:13:51.750> we<00:13:51.900> set about it but we before we start we set about it but we before we start we set this<00:13:52.589> Golden<00:13:53.160> Rule<00:13:53.430> the<00:13:53.670> rule<00:13:53.850> is<00:13:54.800> nobody this Golden Rule the rule is nobody this Golden Rule the rule is nobody criticizes<00:13:56.700> anybody's<00:13:57.600> ideas<00:13:58.020> nobody criticizes anybody's ideas nobody criticizes anybody's ideas nobody criticizes<00:13:59.190> any<00:13:59.430> opinion<00:14:00.210> this<00:14:00.839> is<00:14:00.900> important criticizes any opinion this is important criticizes any opinion this is important because<00:14:01.500> many<00:14:01.920> times<00:14:01.980> students<00:14:02.550> they<00:14:02.670> fear because many times students they fear because many times students they fear they<00:14:03.210> feel<00:14:03.390> uncomfortable<00:14:03.990> how<00:14:04.380> other<00:14:04.620> might they feel uncomfortable how other might they feel uncomfortable how other might think<00:14:05.520> about<00:14:05.730> their<00:14:05.880> opinions<00:14:06.750> and<00:14:06.930> thoughts think about their opinions and thoughts think about their opinions and thoughts so<00:14:07.440> once<00:14:07.950> you<00:14:08.070> do<00:14:08.220> this<00:14:08.430> it<00:14:08.610> is<00:14:08.910> amazing<00:14:09.810> how so once you do this it is amazing how so once you do this it is amazing how the<00:14:10.110> students<00:14:10.500> open<00:14:10.920> up<00:14:11.040> they<00:14:11.280> have<00:14:11.550> this the students open up they have this the students open up they have this wacky<00:14:12.240> cool<00:14:12.780> crazy<00:14:13.260> brilliant<00:14:14.040> ideas<00:14:14.430> and<00:14:14.610> the wacky cool crazy brilliant ideas and the wacky cool crazy brilliant ideas and the whole<00:14:15.180> room<00:14:15.510> is<00:14:15.750> just<00:14:15.800> electrified<00:14:16.800> with whole room is just electrified with whole room is just electrified with creative<00:14:17.430> energy<00:14:17.790> and<00:14:17.940> this<00:14:18.390> is<00:14:18.540> how<00:14:18.720> we creative energy and this is how we creative energy and this is how we develop<00:14:19.560> our<00:14:19.800> ideas<00:14:20.240> well<00:14:21.240> we're<00:14:21.390> running<00:14:21.510> out develop our ideas well we're running out develop our ideas well we're running out of<00:14:21.780> time<00:14:21.870> one<00:14:22.200> more<00:14:22.320> thing<00:14:22.470> I<00:14:22.500> want<00:14:22.650> to<00:14:22.710> talk of time one more thing I want to talk of time one more thing I want to talk about<00:14:23.010> is<00:14:23.370> you<00:14:24.120> know<00:14:24.150> just<00:14:24.630> a<00:14:24.750> spark<00:14:25.050> of<00:14:25.200> idea about is you know just a spark of idea about is you know just a spark of idea and<00:14:25.950> developments<00:14:26.370> not<00:14:26.490> good<00:14:26.730> enough<00:14:27.000> there and developments not good enough there and developments not good enough there was<00:14:27.780> a<00:14:27.810> great<00:14:28.200> TED<00:14:28.680> moment<00:14:29.220> I<00:14:29.430> think<00:14:29.970> was<00:14:30.089> Sir was a great TED moment I think was Sir was a great TED moment I think was Sir Ken<00:14:31.320> Robinson<00:14:31.350> was<00:14:31.980> it<00:14:32.160> he<00:14:32.339> gave<00:14:32.610> a<00:14:32.670> talk<00:14:32.760> about Ken Robinson was it he gave a talk about Ken Robinson was it he gave a talk about how<00:14:33.480> education<00:14:34.320> and<00:14:34.560> school<00:14:35.190> kills how education and school kills how education and school kills creativity<00:14:36.080> well<00:14:37.080> actually<00:14:37.230> there's<00:14:37.470> two creativity well actually there's two creativity well actually there's two sides<00:14:38.310> to<00:14:38.550> the<00:14:38.670> story<00:14:39.170> so<00:14:40.170> there's<00:14:40.530> only<00:14:40.860> so sides to the story so there's only so sides to the story so there's only so much<00:14:41.760> one<00:14:42.120> can<00:14:42.150> do<00:14:42.660> with<00:14:42.960> just<00:14:43.170> ingenious much one can do with just ingenious much one can do with just ingenious ideas<00:14:44.430> and<00:14:44.760> creativity<00:14:45.570> and<00:14:45.990> good ideas and creativity and good ideas and creativity and good engineering<00:14:47.190> intuition<00:14:47.670> if<00:14:48.030> you<00:14:48.120> want<00:14:48.240> to<00:14:48.330> go engineering intuition if you want to go engineering intuition if you want to go beyond<00:14:48.839> the<00:14:49.080> tinkering<00:14:49.500> if<00:14:49.740> you<00:14:49.830> want<00:14:49.950> to<00:14:50.040> go beyond the tinkering if you want to go beyond the tinkering if you want to go beyond<00:14:50.459> the<00:14:50.580> hobbyist beyond the hobbyist beyond the hobbyist products<00:14:51.600> and<00:14:51.690> really<00:14:52.320> tackle<00:14:52.860> the<00:14:53.370> the<00:14:53.790> grand products and really tackle the the grand products and really tackle the the grand challenges<00:14:54.690> of<00:14:54.810> Robotics<00:14:55.170> through<00:14:55.410> rigorous challenges of Robotics through rigorous challenges of Robotics through rigorous research<00:14:56.190> we<00:14:56.850> need<00:14:57.060> more<00:14:57.209> than<00:14:57.269> that<00:14:57.540> this<00:14:57.839> is research we need more than that this is research we need more than that this is where<00:14:58.200> school<00:14:58.589> comes<00:14:58.920> in<00:14:59.360> Batman<00:15:00.410> fight where school comes in Batman fight where school comes in Batman fight against<00:15:01.680> bad<00:15:01.920> guys<00:15:01.980> he<00:15:02.370> has<00:15:02.519> this<00:15:02.580> utility against bad guys he has this utility against bad guys he has this utility belt<00:15:03.269> he<00:15:03.450> has<00:15:03.570> this<00:15:03.690> grappling<00:15:04.019> hook<00:15:04.380> has<00:15:04.920> all belt he has this grappling hook has all belt he has this grappling hook has all difficult<00:15:05.580> of<00:15:05.670> gadgets<00:15:06.089> for<00:15:06.720> us<00:15:06.870> Rhodes's difficult of gadgets for us Rhodes's difficult of gadgets for us Rhodes's engineers<00:15:08.190> on<00:15:08.339> scientists<00:15:08.910> these<00:15:09.269> tools engineers on scientists these tools engineers on scientists these tools these<00:15:10.320> are<00:15:10.620> the<00:15:10.829> courses<00:15:11.370> and<00:15:11.550> classes<00:15:11.730> you these are the courses and classes you these are the courses and classes you take<00:15:12.209> in<00:15:12.360> class<00:15:12.600> math<00:15:13.529> differential take in class math differential take in class math differential equations<00:15:14.970> I<00:15:15.209> have<00:15:15.420> linear<00:15:15.959> algebra<00:15:16.470> science equations I have linear algebra science equations I have linear algebra science physics<00:15:17.880> even<00:15:18.120> nowadays<00:15:18.600> chemistry<00:15:19.529> and physics even nowadays chemistry and physics even nowadays chemistry and biology<00:15:20.040> as<00:15:20.399> you've<00:15:20.519> seen<00:15:20.760> these<00:15:21.240> are<00:15:21.450> all<00:15:21.600> the biology as you've seen these are all the biology as you've seen these are all the tools<00:15:22.019> that<00:15:22.140> we<00:15:22.230> need<00:15:22.350> so<00:15:23.010> the<00:15:23.160> more<00:15:23.339> tools<00:15:23.610> you tools that we need so the more tools you tools that we need so the more tools you have<00:15:23.760> for<00:15:24.149> Batman<00:15:24.300> more<00:15:24.899> effective<00:15:25.260> in have for Batman more effective in have for Batman more effective in fighting<00:15:25.649> the<00:15:25.740> bad<00:15:25.890> guys<00:15:25.920> for<00:15:26.700> us<00:15:26.730> more<00:15:27.390> tools fighting the bad guys for us more tools fighting the bad guys for us more tools to<00:15:27.839> attack<00:15:28.170> these<00:15:28.350> kind<00:15:28.560> of<00:15:28.620> big<00:15:28.800> problems<00:15:30.050> so to attack these kind of big problems so to attack these kind of big problems so education<00:15:31.740> very<00:15:31.950> important<00:15:33.410> also<00:15:34.410> it's<00:15:34.800> not education very important also it's not education very important also it's not about<00:15:35.220> that<00:15:35.459> only<00:15:36.180> about<00:15:36.360> that<00:15:36.570> you<00:15:36.690> also<00:15:36.810> have about that only about that you also have about that only about that you also have to<00:15:37.110> work<00:15:37.260> really<00:15:37.529> really<00:15:37.680> hard<00:15:37.890> so<00:15:38.220> I<00:15:38.250> always to work really really hard so I always to work really really hard so I always tell<00:15:38.760> my<00:15:38.880> students<00:15:39.240> work<00:15:39.750> smart<00:15:40.140> then<00:15:40.769> work tell my students work smart then work tell my students work smart then work hard<00:15:41.269> this<00:15:42.269> picture<00:15:42.630> in<00:15:42.750> the<00:15:42.810> back<00:15:42.990> this<00:15:43.200> is<00:15:43.260> a hard this picture in the back this is a hard this picture in the back this is a 3<00:15:43.740> a.m.<00:15:44.010> in<00:15:44.130> the<00:15:44.160> morning<00:15:44.519> I<00:15:44.700> guarantee<00:15:45.570> if<00:15:45.690> you 3 a.m. in the morning I guarantee if you 3 a.m. in the morning I guarantee if you come<00:15:45.959> to<00:15:46.110> our<00:15:46.140> lab<00:15:46.350> 3<00:15:46.589> 4<00:15:46.769> a.m.<00:15:46.950> they<00:15:47.220> we<00:15:47.430> have come to our lab 3 4 a.m. they we have come to our lab 3 4 a.m. they we have students<00:15:47.970> working<00:15:48.209> there<00:15:48.480> not<00:15:48.930> because<00:15:49.230> I students working there not because I students working there not because I tell<00:15:49.529> them<00:15:49.649> to<00:15:49.829> because<00:15:50.190> we're<00:15:50.370> having<00:15:50.519> too tell them to because we're having too tell them to because we're having too much<00:15:50.880> fun<00:15:51.180> which<00:15:51.839> leads<00:15:52.170> to<00:15:52.290> the<00:15:52.529> last<00:15:52.709> topic much fun which leads to the last topic much fun which leads to the last topic do<00:15:53.850> not<00:15:54.089> forget<00:15:54.510> to<00:15:54.720> have<00:15:55.050> fun<00:15:55.079> that's<00:15:55.740> really do not forget to have fun that's really do not forget to have fun that's really a<00:15:56.130> secret<00:15:56.490> of<00:15:56.640> our<00:15:56.730> success<00:15:56.940> we're<00:15:57.450> having<00:15:57.720> too a secret of our success we're having too a secret of our success we're having too much<00:15:57.990> fun<00:15:58.050> I<00:15:58.410> truly<00:15:58.770> believe<00:15:58.980> that<00:15:59.450> highest much fun I truly believe that highest much fun I truly believe that highest product<00:16:00.690> it<00:16:00.839> comes<00:16:00.990> in<00:16:01.200> when<00:16:01.350> you're<00:16:01.470> having product it comes in when you're having product it comes in when you're having fun<00:16:01.740> and<00:16:02.070> that's<00:16:02.459> what<00:16:02.700> we're<00:16:02.820> doing<00:16:03.060> and fun and that's what we're doing and fun and that's what we're doing and there<00:16:03.690> you<00:16:03.779> go<00:16:03.899> thank<00:16:04.230> you<00:16:04.320> so<00:16:04.470> much

you

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