ABOUT THE SPEAKER
Caleb Chung - Toy designer
Caleb Chung dreams up toys that interact with children. He's the inventor of Furby, a talking (and listening) robotic furball that sold some 50 million units in the late '90s. His newest plaything: Pleo the adorable robot dinosaur.

Why you should listen

Caleb Chung came to toy inventing with the standard background: a career as a mime, comedian and stunt man. A prolific creator of toys from the get-go (he invented some classic McDonald's Happy Meal giveaways), he became a toy-design rockstar in the 1990s with the Furby . Essentially a talking mogwai, the Furby spoke its own language, could communicate with other Furbys, and connected with its owner in a way that sold tens of millions of the dolls. (Versions of the Furby are still in production worldwide -- and are a magnet for tinkerers.)

Retiring to Idaho after this roaring success, Chung started tinkering with another design that uses sophisticated robotics to evoke a deep emotional bond. The Pleo is the result, a supercute baby dinosaur that begins its emotional and intellectual development when you pull it out of the box. After a few deadline problems (centered around the challenge of fitting 37 sensors, 14 motors and 7 microcontrollers inside a realistic dinosaur skin), Chung's company Ugobe (now Pleoworld) shipped Pleo for Christmas 2007.

More profile about the speaker
Caleb Chung | Speaker | TED.com
EG 2007

Caleb Chung: Playtime with Pleo, your robotic dinosaur friend

Filmed:
461,848 views

Pleo the robot dinosaur acts like a living pet -- exploring, cuddling, playing, reacting and learning. Inventor Caleb Chung talks about Pleo and his wild toy career at EG07, on the week that Pleo shipped to stores for the first time.
- Toy designer
Caleb Chung dreams up toys that interact with children. He's the inventor of Furby, a talking (and listening) robotic furball that sold some 50 million units in the late '90s. His newest plaything: Pleo the adorable robot dinosaur. Full bio

Double-click the English transcript below to play the video.

00:16
I'm a, or was, or kind of am a toy designer.
0
0
4000
00:20
And before I was a toy designer, oh, I was a mime, a street mime, actually.
1
4000
7000
00:27
And then I was an entertainer, I guess.
2
11000
2000
00:29
And before that, I was a silversmith, and before that, I was --
3
13000
2000
00:31
I was out of the house at about 15 and a half,
4
15000
3000
00:34
and I never wound up going into college.
5
18000
2000
00:36
I didn't really -- I didn't see the point at the time.
6
20000
3000
00:39
I do now, after learning about all the quantum stuff.
7
23000
4000
00:43
(Laughter)
8
27000
3000
00:46
It's really cool.
9
30000
1000
00:47
Anyway, I wanted to show you a little bit about the world of toy design,
10
31000
5000
00:52
at least from my small aperture of the world.
11
36000
2000
00:54
This is a video I made when I first started doing toy design.
12
38000
4000
00:58
I'm in my garage, making weird stuff.
13
42000
2000
01:00
And then you go to these toy companies
14
44000
2000
01:02
and there's some guy across the table,
15
46000
2000
01:04
and he goes, "Pass. Pass. Pass."
16
48000
2000
01:06
You know, you think it's so cool, but they --
17
50000
2000
01:08
anyway, I made this little tape that I'd always show when I go in.
18
52000
3000
01:11
This is the name of my company, Giving Toys.
19
55000
5000
01:16
So I used to work at Mattel, actually.
20
60000
2000
01:18
And after I left Mattel, I started all these hamburger makers,
21
62000
4000
01:22
and then got the license to make the maker.
22
66000
2000
01:24
So this is a hamburger maker that
23
68000
2000
01:26
you take the peanut butter and stuff and you put it in there, and it makes --
24
70000
4000
01:30
and this is a French fry maker, little, tiny food you can eat.
25
74000
3000
01:33
I beat up the pasta maker to make that.
26
77000
3000
01:36
Then this is a McNugget maker, I think.
27
80000
3000
01:39
This, now that's the McNugget maker,
28
83000
4000
01:43
and this is a -- this is my oldest daughter making a McApple Pie.
29
87000
6000
01:49
And let's see, you can make the pie and cinnamon and sugar,
30
93000
3000
01:52
and then you eat, and you eat, and you eat, and you --
31
96000
5000
01:57
she's about 300 pounds now.
32
101000
1000
01:58
No, she's not, she's beautiful.
33
102000
3000
02:01
This is how they looked when they came out at the end.
34
105000
2000
02:03
These are a -- this is like a 15 million dollar line.
35
107000
2000
02:05
And it got me through some -- I didn't make any royalties on this, but it got me through.
36
109000
4000
02:09
Next is a compilation of a bunch of stuff.
37
113000
2000
02:11
That was a missile foam launcher that didn't get sold.
38
115000
2000
02:13
This is a squishy head, for no apparent reason.
39
117000
3000
02:16
This is some effects that I did for "Wig, Rattle and Roll."
40
120000
5000
02:21
That was a robot eye thing controlling it in the back.
41
125000
3000
02:24
That paid the rent for about a month.
42
128000
1000
02:25
This is a walking Barbie -- I said, "Oh, this is it!"
43
129000
2000
02:27
And they go, "Oh, that's really nice," and out it goes.
44
131000
2000
02:29
So this is some fighting robots. I thought everyone would want these.
45
133000
4000
02:33
They fight, they get back up, you know? Wouldn't this be cool?
46
137000
3000
02:36
And they made it into a toy, and then they dropped it like a hot rock.
47
140000
3000
02:39
They're pretty cool.
48
143000
2000
02:41
This is a-- we're doing some flight-testing
49
145000
2000
02:43
on my little pug, seeing if this can really grab.
50
147000
3000
02:46
It does pretty good.
51
150000
3000
02:49
I'm using little phone connectors to make them so they can spin.
52
153000
3000
02:52
It's how they, see, have those album things -- kids don't know what they are.
53
156000
4000
02:56
This is a clay maker.
54
160000
1000
02:57
You know, I said -- I went to Play-Doh,
55
161000
2000
02:59
and said, "Look, I can animate this."
56
163000
2000
03:01
They said, "Don't talk to us about Play-Doh."
57
165000
2000
03:03
And then, I made a Lego animator.
58
167000
1000
03:04
I thought, this would be so great!
59
168000
2000
03:06
And you know, Lego -- don't take Legos to Lego.
60
170000
3000
03:09
That's the answer. They know everything about it.
61
173000
3000
03:12
Then I started doing animatronics.
62
176000
1000
03:13
I loved dinosaurs.
63
177000
1000
03:14
I used to be in the film business, kind of,
64
178000
2000
03:16
and actually, Nicholas Negroponte saw this when I was, like, 12,
65
180000
4000
03:20
and anyway, so then they said, "No, you have to make two and they have to fight."
66
184000
3000
03:23
You know, how -- why would a kid want a dinosaur?
67
187000
3000
03:26
This is me using [unclear] or 3-D Studio, back in the '80s.
68
190000
6000
03:32
That's David Letterman.
69
196000
1000
03:33
You can see how old this stuff is.
70
197000
2000
03:35
That's my youngest cousin.
71
199000
4000
03:39
This is a segment called, "Dangerous Toys You Won't See at Christmas."
72
203000
4000
03:43
We had my first saw blade launcher and we had a flamethrower chair.
73
207000
4000
03:47
My career basically peaked here.
74
211000
2000
03:49
And in the back are foam-core cutouts of the people who couldn't make it to the show.
75
213000
6000
03:55
This is MEK going through a windshield wiper motor.
76
219000
8000
04:03
So this is a -- I used to kind of be an actor.
77
227000
4000
04:07
And I'm really not very good at it.
78
231000
2000
04:09
But the -- this is a guy named Dr. Yatz,
79
233000
2000
04:11
who would take toys apart and show kids about engineering.
80
235000
5000
04:16
And you can see the massively parallel processing Nintendos there.
81
240000
3000
04:19
And over to the left is a view master of the CD-ROM.
82
243000
2000
04:21
And a guy named Stan Reznikov did this as a pilot.
83
245000
3000
04:24
This is a -- you can see the little window there.
84
248000
3000
04:27
You can actually see the Steadicam with a bubble on the bottom.
85
251000
5000
04:32
You see the keyboard strapped to my wrist.
86
256000
1000
04:33
Way ahead of my time here.
87
257000
2000
04:35
(Video) I'm getting dizzy ...
88
259000
10000
04:45
Narrator: I love toys!
89
269000
9000
04:54
Caleb Chung: That's all I wanted to say there. I love toys.
90
278000
2000
04:56
OK, so, so that was a, that was the first kind of a --
91
280000
5000
05:01
that was the first batch of products.
92
285000
2000
05:03
Most of them did not go.
93
287000
1000
05:04
You get one out of 20, one out of 30 products.
94
288000
3000
05:07
And every now and then, we do something like a,
95
291000
1000
05:08
you know, an automated hair wrap machine, you know,
96
292000
4000
05:12
that tangles your hair and pulls your scalp out, and --
97
296000
2000
05:14
and we'd make some money on that, you know. And we'd give it out.
98
298000
3000
05:17
But eventually, we left L.A., and we moved to Idaho,
99
301000
6000
05:23
where there was actually a lot of peace and quiet.
100
307000
2000
05:25
And I started working on this project
101
309000
2000
05:27
-- oh, I have to tell you about this real quick.
102
311000
2000
05:29
Throughout this whole thing, making toys,
103
313000
3000
05:32
I think there is a real correlation with innovation and art and science.
104
316000
3000
05:35
There's some kind of a blend that happens
105
319000
2000
05:37
that allows, you know, to find innovation.
106
321000
3000
05:40
And I tried to sum this up in some kind of symbol
107
324000
3000
05:43
that means something, to me anyway.
108
327000
2000
05:45
And so, art and science have a kind of dynamic balance,
109
329000
3000
05:48
that's where I think innovation happens.
110
332000
2000
05:50
And actually, this is, to me, how I can come up with great ideas.
111
334000
5000
05:55
But it's not how you actually get leverage.
112
339000
2000
05:57
Actually, you have to put a circle around that, and call it business.
113
341000
2000
05:59
And those three together, I think, give you leverage in the world.
114
343000
3000
06:02
But moving on.
115
346000
1000
06:03
So, this is a quick tale I'm going to tell. This is the Furby tale.
116
347000
4000
06:07
As he said, I was co-inventor of the Furby.
117
351000
2000
06:09
I did the body and creature -- well, you'll see.
118
353000
3000
06:12
So by way of showing you this, you can kind of
119
356000
2000
06:14
get an understanding of what it is to,
120
358000
3000
06:17
hopefully, try to create robotic life forms, or technology
121
361000
6000
06:23
that has an emotional connection with the user.
122
367000
4000
06:27
So this is my family.
123
371000
1000
06:28
This is my wife, Christi, and Abby, and Melissa,
124
372000
3000
06:31
and my 17-year-old now, Emily, who was just a pack of trouble.
125
375000
4000
06:35
All right, there's that robot again.
126
379000
2000
06:37
I came out of the movie business, as I said,
127
381000
2000
06:39
and I said, let's make these animatronic robots.
128
383000
2000
06:41
Let's make these things.
129
385000
2000
06:43
And so I've always had a big interest in this.
130
387000
2000
06:45
This one actually didn't go anywhere,
131
389000
1000
06:46
but I got my feet wet doing this.
132
390000
2000
06:48
This is a smaller one, and I have a little moving torso on there.
133
392000
3000
06:51
A little, tiny guy walks along. More servo drives,
134
395000
3000
06:54
lots of servo hacking, lots of mechanical stuff.
135
398000
2000
06:56
There's another one.
136
400000
1000
06:57
He actually has skeletor legs, I think, he's wearing there.
137
401000
3000
07:00
Oh, this is a little pony, little pony -- very cute little thing.
138
404000
2000
07:02
The point of showing these is I've always been interested in little artificial life pieces.
139
406000
5000
07:07
So the challenge was -- I worked for Microsoft for a little bit,
140
411000
4000
07:11
working on the Microsoft Barney.
141
415000
1000
07:12
And this is a -- you know, the purple dinosaur with kind of bloat wear.
142
416000
5000
07:17
And, you know, they had lots, just lots of stuff in there that you didn't need, I thought.
143
421000
4000
07:21
And then Microsoft can just fill a, you know, a warehouse
144
425000
3000
07:24
full of this stuff and see if they sell.
145
428000
2000
07:26
So it's a really strange business model compared to coming from a toy company.
146
430000
4000
07:30
But anyway, a friend of mine and I, Dave Hampton,
147
434000
3000
07:33
decided to see if we could do like a single-cell organism.
148
437000
2000
07:35
What's the fewest pieces we could use to make a little life form?
149
439000
4000
07:39
And that's our little, thirty-cent Mabuchi motor.
150
443000
2000
07:41
And so, I have all these design books,
151
445000
2000
07:43
like I'm sure many of you have.
152
447000
1000
07:44
And throughout the books -- this is the first page on Furby --
153
448000
3000
07:47
I have kind of the art and science.
154
451000
2000
07:49
I have the why over here, and the how over there.
155
453000
3000
07:52
I try to do a lot of philosophy, a lot of thinking about all of these projects.
156
456000
3000
07:55
Because they're not just "bing" ideas;
157
459000
1000
07:56
you have to really dig deep in these things.
158
460000
3000
07:59
So there's some real pseudo-code over here,
159
463000
2000
08:01
and getting the idea of different kind of drives, things like that.
160
465000
3000
08:04
And originally, Furby only had two eyes and some batteries on the bottom.
161
468000
3000
08:07
And then we said, well, you're going to feed him,
162
471000
1000
08:08
and he needs to talk, and it got more complicated.
163
472000
3000
08:11
And then I had to figure out how I'm going to use that one motor
164
475000
1000
08:12
to make the eyes move, and the ears move,
165
476000
2000
08:14
and the body to move, and the mouth to move.
166
478000
2000
08:16
And, you know, I want to make it blink
167
480000
1000
08:17
and do all that at the same time.
168
481000
2000
08:19
Well, I came up with this kind of linear
169
483000
2000
08:21
expression thing with these cams and feedback. And that worked pretty well.
170
485000
4000
08:25
Then I started to get a little more realistic
171
489000
2000
08:27
and I have to start drawing the stuff.
172
491000
1000
08:28
And there's my "note to self" at the top:
173
492000
2000
08:30
"lots of engineering."
174
494000
1000
08:31
So that turned out to be a little more than true.
175
495000
3000
08:34
There's my first exploded view and all the little pieces
176
498000
3000
08:37
and the little worm drive and all that stuff.
177
501000
2000
08:39
And then I've got to start building it,
178
503000
2000
08:41
so this is the real thing.
179
505000
1000
08:42
I get up and start cutting my finger and gluing things together.
180
506000
3000
08:45
And that's my little workshop.
181
509000
1000
08:46
And there's the first little cam that drove Furby.
182
510000
2000
08:48
And there's Furby on the half shell.
183
512000
2000
08:50
You can see the little BB in the box is my tilt sensor.
184
514000
4000
08:54
I just basically gnawed all this stuff out of plastic.
185
518000
3000
08:57
So there's the back of his head with a billion holes in it.
186
521000
4000
09:01
And there I am. I'm done. There's my little Furby.
187
525000
2000
09:03
No, it's a little robot on heroin or something, I think.
188
527000
3000
09:06
(Laughter)
189
530000
1000
09:07
So right now, you see, I love little robots.
190
531000
4000
09:11
So my wife says, "Well, you may like it, but nobody else will."
191
535000
3000
09:14
So she comes to the rescue.
192
538000
1000
09:15
This is my wife Christi, who is just, you know,
193
539000
1000
09:16
my muse and my partner for eternity here.
194
540000
3000
09:19
And she does drawings, right?
195
543000
1000
09:20
She's an actual, you know, artist.
196
544000
2000
09:22
And she starts doing all these different drawings
197
546000
2000
09:24
and does color patterns and coloring books.
198
548000
3000
09:27
And I like the guy with the cigar at the bottom there.
199
551000
3000
09:30
He didn't test so well, but I like him.
200
554000
2000
09:32
And then she started doing these other images.
201
556000
2000
09:34
At that time, Beanie Babies was a big hit,
202
558000
2000
09:36
and we thought, we'll do a bunch of different ones.
203
560000
2000
09:38
So here's a little pink one, a little pouf on his head.
204
562000
2000
09:40
And here's -- this didn't do so well in testing either, I don't know why.
205
564000
4000
09:44
There's my favorite, Demon Furby.
206
568000
1000
09:45
That was a good one.
207
569000
2000
09:47
Anyway, finally settled on kind of this kind of a look,
208
571000
2000
09:49
little poufy body, a little imaginary character.
209
573000
2000
09:51
And there he is, a little bush baby on -- caught in the headlights there.
210
575000
4000
09:55
I actually went to Toys"R"Us, got a little furry cat,
211
579000
2000
09:57
ripped it apart and made this.
212
581000
2000
09:59
And since then, every time I come home from Toys"R"Us
213
583000
2000
10:01
with dolls or something, they disappear from my desk
214
585000
2000
10:03
and they get hidden in the house.
215
587000
3000
10:06
I have three girls and they just, they --
216
590000
1000
10:07
it's like a rescue animal thing they're going there.
217
591000
2000
10:09
(Laughter)
218
593000
2000
10:11
So, a little tether coming off,
219
595000
1000
10:12
it's just a control for the Fur's mouth and his eyes.
220
596000
3000
10:15
It's just a little server control and I made a little video going:
221
599000
2000
10:17
"Hi, my name's Furby, and I'm good,"
222
601000
2000
10:19
you know, and then I'd reach my hand.
223
603000
1000
10:20
He'd -- you can tickle him. When I put my hand up,
224
604000
2000
10:22
"Ha, ha, ha, ha" and that's how we sold him.
225
606000
3000
10:25
And Hasbro actually said, I meant Tiger Electronics at the time,
226
609000
4000
10:29
said, "Yeah, we want to do this.
227
613000
1000
10:30
We have, you know, 13 weeks or something to Toy Fair,
228
614000
3000
10:33
and we're going to hire you guys to do this."
229
617000
3000
10:36
And so Dave and I got working.
230
620000
2000
10:38
Mostly me, because it was all mechanics at this point.
231
622000
2000
10:40
So now I have to really figure out all kinds of stuff
232
624000
3000
10:43
I don't know how to do.
233
627000
1000
10:44
And I started working with Solid Works
234
628000
1000
10:45
and a whole other group to do that.
235
629000
1000
10:46
And we started --
236
630000
1000
10:47
this was way back before there was really much SLA going on,
237
631000
3000
10:50
not a lot of rapid prototyping.
238
634000
1000
10:51
We certainly didn't have the money to do this.
239
635000
2000
10:53
They only paid me, like, a little bit of money to do this,
240
637000
2000
10:55
so I had to call a friend of a friend
241
639000
2000
10:57
who was running the GM prototype plant, SLA plant, that was down.
242
641000
4000
11:01
And they said, "Yeah, well, we'll run them."
243
645000
1000
11:02
So they ran all the shells for us, which was nice of them.
244
646000
2000
11:04
And the cams I got cut at Hewlett Packard.
245
648000
2000
11:06
We snuck in on the weekend.
246
650000
1000
11:07
And so we just had a disc of the files.
247
651000
3000
11:10
But they have a closed system, so you couldn't print the things out on the machine.
248
654000
3000
11:13
So we actually printed them out on clear and taped them on the monitors.
249
657000
4000
11:17
And on the weekend we ran the parts for that.
250
661000
2000
11:19
So this is how they come out close to the end.
251
663000
2000
11:21
And then they looked like little Garfields there.
252
665000
3000
11:24
Eight months later -- you may remember this,
253
668000
2000
11:26
this was a -- total, total, total chaos.
254
670000
3000
11:29
For a while, they were making two million Furbys a month.
255
673000
2000
11:31
They actually wound up doing about 40 million Furbys.
256
675000
2000
11:33
I -- it's unbelievable how -- I don't know how that can be.
257
677000
4000
11:37
And Hasbro made about, you know, a billion and a half dollars.
258
681000
3000
11:40
And I just a little bit on each one.
259
684000
2000
11:42
So full circle -- why do I do this?
260
686000
3000
11:45
Why do you, you know, try to do this stuff?
261
689000
2000
11:47
And it's, of course, for your kids.
262
691000
2000
11:49
And there's my youngest daughter with her Furbys.
263
693000
2000
11:51
And she still actually has those.
264
695000
1000
11:52
So I kind of retired, and we're already living in paradise
265
696000
2000
11:54
up in Boise, on a river, you know. So
266
698000
3000
11:57
and then I started another company called Toy Innovation
267
701000
2000
11:59
and we did some projects with Mattel with
268
703000
4000
12:03
actually with a lady who's here, Ivy Ross,
269
707000
1000
12:04
and we did Miracle Moves Baby,
270
708000
2000
12:06
made it in Wired magazine, did a bunch of other stuff.
271
710000
2000
12:08
And then I started another company.
272
712000
1000
12:09
We did a little hand-held device for teens that could hook up to the Internet,
273
713000
5000
12:14
won "Best Innovations" at CES,
274
718000
2000
12:16
but really I kind of slowed down and said, OK,
275
720000
3000
12:19
I just ... After a while, I had this old tape of this dinosaur,
276
723000
3000
12:22
and I gave it to this guy, and this other guy saw it,
277
726000
3000
12:25
and then people started to want to do it.
278
729000
2000
12:27
And they said they'd spend all this time.
279
731000
2000
12:29
So I said, "OK, let's try to do this dinosaur project."
280
733000
2000
12:31
The crazy idea is we're going to try to clone a dinosaur
281
735000
4000
12:35
as much as we can with today's technology.
282
739000
2000
12:37
And it's not really -- but as close as we can do.
283
741000
3000
12:40
And we're going to try to really pull this off,
284
744000
3000
12:43
intentfully try to make something that seems like it's alive.
285
747000
4000
12:47
Not a robot that kind of does, but let's really go for it.
286
751000
3000
12:50
So I picked a Camarasaurus,
287
754000
2000
12:52
because the Camarasaurus was the most abundant of the sauropods in North America.
288
756000
4000
12:56
And you could actually find full fossil evidence of these.
289
760000
3000
12:59
That's a juvenile.
290
763000
1000
13:00
And so we actually went in.
291
764000
1000
13:01
There's a book called "Walking on Eggshells,"
292
765000
2000
13:03
where they found actual sauropod skin in Patagonia.
293
767000
3000
13:06
And the picture from the book, so when I --
294
770000
2000
13:08
I told the sculptor to use this bump pattern, whatever you can to copy that.
295
772000
3000
13:11
Very, very obsessive.
296
775000
2000
13:13
There's a kind of truncated Camarasaurus skeleton,
297
777000
2000
13:15
but the geometry's correct.
298
779000
2000
13:17
And then I went in, and measured all the geometry
299
781000
1000
13:18
because I figured, hey, biomimicry.
300
782000
2000
13:20
If I do it kind of right, it might move kind of like the real thing.
301
784000
3000
13:23
So there's the motor.
302
787000
2000
13:25
And about this time, you know, all these other people are starting to help.
303
789000
3000
13:28
Here's an example of what we did with the skull.
304
792000
1000
13:29
There's the skull, there's my drawing of a skull.
305
793000
3000
13:32
There's kind of the skin version of the soft tissue.
306
796000
3000
13:35
There's the mechanism that would go in there,
307
799000
2000
13:37
kind of a Geneva drive.
308
801000
1000
13:38
There's some Solid Works versions of it.
309
802000
2000
13:40
Here's some SLA parts of the same thing.
310
804000
2000
13:42
And then, these are really crude pieces. We were just doing some tests here.
311
806000
3000
13:45
There's the skull, pretty much the same shape as the Camarasaurus.
312
809000
3000
13:48
There's a photorealistic eye behind a lens.
313
812000
3000
13:51
And there's kind of the first exploded view, or see-through view.
314
815000
3000
13:54
There's the first SLA version, and it already kind of has the feel,
315
818000
4000
13:58
it has kind of a cuteness already.
316
822000
2000
14:00
And the thing about blending science and art
317
824000
2000
14:02
in this multidisciplinary stuff is you can do a robot,
318
826000
2000
14:04
and then you go back and do the shape,
319
828000
2000
14:06
and then you go back and forth.
320
830000
1000
14:07
The servos in the front legs, we had to shape those like muscles.
321
831000
3000
14:10
They had to fit within the envelope.
322
834000
1000
14:11
There was a tremendous amount of work to get all that working right.
323
835000
4000
14:15
All the neck and the tail are cable,
324
839000
1000
14:16
so it moves smoothly and organically.
325
840000
2000
14:18
And then, of course, you're not done yet.
326
842000
1000
14:19
You have to get the look for the skin.
327
843000
2000
14:21
The skin's a whole another thing, probably the hardest part.
328
845000
3000
14:24
So you hire artists, and you try to get the look and feel
329
848000
2000
14:26
of the character.
330
850000
1000
14:27
Now, this is not -- we're character designers, right?
331
851000
2000
14:29
And we're still trying to keep with the real character.
332
853000
3000
14:32
So, now you go back and you cover the whole thing with clay.
333
856000
2000
14:34
Now you start doing the sculpture for this.
334
858000
3000
14:37
And you can see we got a guy from --
335
861000
1000
14:38
who's just a fanatic about dinosaurs
336
862000
3000
14:41
to do the sculpting for us,
337
865000
1000
14:42
down to the spoon-shaped teeth and everything.
338
866000
1000
14:43
And then more sculpting, and then more sculpting,
339
867000
2000
14:45
and then more sculpting, and then more sculpting.
340
869000
2000
14:47
And then, four years and 10 million dollars later,
341
871000
3000
14:50
we have a little Pleo.
342
874000
2000
14:52
John, do you want to bring him up?
343
876000
2000
14:54
John Sosoka is our CTO, and is really the man
344
878000
2000
14:56
that's done most of the work with our 40-person company.
345
880000
3000
14:59
I'd like to give John a hand. He never gets recognition. This is John Sosoka.
346
883000
3000
15:02
(Applause)
347
886000
4000
15:06
So, thank you, John, thank you,
348
890000
2000
15:08
and get back to work, all right, man?
349
892000
2000
15:10
All right --
350
894000
1000
15:11
(Laughter)
351
895000
4000
15:15
-- no, it's very painful, so --
352
899000
1000
15:16
(Laughter)
353
900000
2000
15:18
-- these are little Pleos and you can probably see them.
354
902000
4000
15:22
This -- I on purpose -- they go through life stages.
355
906000
3000
15:25
So when you first get them, they're babies.
356
909000
2000
15:27
And you -- more you have them, kind of the older they get,
357
911000
2000
15:29
and they kind of learn through their behavior.
358
913000
2000
15:31
So this one, this one's actually asleep, and -- hang on.
359
915000
5000
15:36
Pleo, wake up. Pleo, come on.
360
920000
3000
15:39
So this guy's listening to my voice here.
361
923000
1000
15:40
But they have 40 sensors all over their body.
362
924000
3000
15:43
They have seven processors, they have 14 motors,
363
927000
4000
15:47
they have --
364
931000
2000
15:49
but you don't care, do you?
365
933000
1000
15:50
They're just cute, right? That's the idea, that's the idea.
366
934000
4000
15:54
So you see -- hey, come on. Hey, did you feel that?
367
938000
3000
15:57
There's something big and loud over here.
368
941000
2000
15:59
Hey.
369
943000
1000
16:00
(Laughter)
370
944000
4000
16:04
That's good, wake up, wake up, wake up.
371
948000
2000
16:06
Yeah, they're like kids, you know.
372
950000
1000
16:07
You, yeah, yeah. Okay, he's hungry.
373
951000
2000
16:09
I'll show you what he's been doing for, for four years.
374
953000
3000
16:12
Here, here, here. Have some money, Pleo.
375
956000
2000
16:14
(Laughter)
376
958000
1000
16:15
There you go.
377
959000
1000
16:16
That's what the investors think, that it's just --
378
960000
7000
16:23
(Laughter)
379
967000
2000
16:25
-- right, right. So they're really sweet little guys.
380
969000
3000
16:28
And we're hoping that -- you know,
381
972000
3000
16:31
our belief is that humans need to feel empathy towards things
382
975000
5000
16:36
in order to be more human.
383
980000
1000
16:37
And we think we can help that out by having
384
981000
3000
16:40
little creatures that you can love.
385
984000
2000
16:42
Now these are not robots, they're kind of lovebots, you know.
386
986000
3000
16:45
They do change over time.
387
989000
2000
16:47
But mostly they evoke a feeling of caring.
388
991000
3000
16:50
And we have a -- I have a little something here.
389
994000
6000
16:56
Now I do want to say that, you know, Ugobe is not there yet.
390
1000000
5000
17:01
We've just opened the door, and it's for all of you to step through it.
391
1005000
4000
17:05
We did include some things that are hopefully useful.
392
1009000
2000
17:07
Excuse me, Pleo.
393
1011000
1000
17:08
They -- he has a USB and he has a SD card,
394
1012000
3000
17:11
so it's completely open architecture.
395
1015000
2000
17:13
So anyone can plug him -- (Applause) -- thank you.
396
1017000
1000
17:14
This is John over here.
397
1018000
2000
17:16
Anyone can take Pleo and they can totally redo his personality.
398
1020000
4000
17:20
You can make him bipolar, or as someone said, a --
399
1024000
2000
17:22
(Laughter) --
400
1026000
1000
17:23
you can change his homeostatic drives, or whatever you want to call them.
401
1027000
7000
17:30
Kids can just drag and drop, put in new sounds.
402
1034000
2000
17:32
We -- actually, it's very hard to keep people from doing this.
403
1036000
3000
17:35
We have one animator who's taken it and
404
1039000
3000
17:38
he's done a take on the Budweiser beer commercial,
405
1042000
3000
17:41
and they're going, "Whassup," you know?
406
1045000
2000
17:43
(Laughter)
407
1047000
2000
17:45
You -- so it's -- yes, he likes that.
408
1049000
3000
17:48
So they're a handful. We hope you get one.
409
1052000
3000
17:51
I don't know what I'm missing to say,
410
1055000
2000
17:53
but as a last thing, I'd like to say is that
411
1057000
4000
17:57
if we continue along this path, we are designing our children's best friends.
412
1061000
5000
18:02
And there's a lot of social responsibility in that.
413
1066000
2000
18:04
That's why Pleo's soft and gentle and loving.
414
1068000
2000
18:06
And so I just -- I hope we all dream well.
415
1070000
4000
18:10
Thank you.
416
1074000
1000
18:11
(Applause)
417
1075000
8000

▲Back to top

ABOUT THE SPEAKER
Caleb Chung - Toy designer
Caleb Chung dreams up toys that interact with children. He's the inventor of Furby, a talking (and listening) robotic furball that sold some 50 million units in the late '90s. His newest plaything: Pleo the adorable robot dinosaur.

Why you should listen

Caleb Chung came to toy inventing with the standard background: a career as a mime, comedian and stunt man. A prolific creator of toys from the get-go (he invented some classic McDonald's Happy Meal giveaways), he became a toy-design rockstar in the 1990s with the Furby . Essentially a talking mogwai, the Furby spoke its own language, could communicate with other Furbys, and connected with its owner in a way that sold tens of millions of the dolls. (Versions of the Furby are still in production worldwide -- and are a magnet for tinkerers.)

Retiring to Idaho after this roaring success, Chung started tinkering with another design that uses sophisticated robotics to evoke a deep emotional bond. The Pleo is the result, a supercute baby dinosaur that begins its emotional and intellectual development when you pull it out of the box. After a few deadline problems (centered around the challenge of fitting 37 sensors, 14 motors and 7 microcontrollers inside a realistic dinosaur skin), Chung's company Ugobe (now Pleoworld) shipped Pleo for Christmas 2007.

More profile about the speaker
Caleb Chung | Speaker | TED.com

Data provided by TED.

This site was created in May 2015 and the last update was on January 12, 2020. It will no longer be updated.

We are currently creating a new site called "eng.lish.video" and would be grateful if you could access it.

If you have any questions or suggestions, please feel free to write comments in your language on the contact form.

Privacy Policy

Developer's Blog

Buy Me A Coffee