• 8 months ago
Armed with more than $750 million in funding, Brett Adcock vows that Figure will become one of the most important businesses in the world. First, there is a lot of work to do. Adcock, the 38-year-old founder and CEO of robot maker Figure, is riding high. In January, the company announced a collaboration with BMW, with the goal of putting Figure’s robots to work at the German automaker’s Spartanburg, South Carolina manufacturing plant. Six weeks later, Figure raised $675 million at a $2.6 billion valuation from the likes of Microsoft, Nvidia, OpenAI Startup Fund and Jeff Bezos. At the same time, Figure signed a collaboration agreement with OpenAI to develop next generation AI models for humanoid robots.

The valuation makes Adcock, who owns about 50% of the Sunnyvale, California company, a new billionaire. With his Figure stake and shares from a previous startup, he’s worth an estimated $1.4 billion.
Even with all the money in the world, success is not assured.

0:00 Intro
0:35 Who is Brett Adcock?
1:45 Building the Figure Team
2:18 What Makes Figure Different?
3:16 Figure 01 Demonstration
4:44 Training Humanoids
6:47 The Future of Robots

Read the full story on Forbes: https://www.forbes.com/sites/kerryadolan/2024/04/15/meet-the-new-ai-robot-billionaire/?sh=4eef9f7f7c32

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Transcript
00:00 [MUSIC]
00:02 >> Hey, figure one, what do you see right now?
00:04 [MUSIC]
00:08 >> I see a red apple on a plate in the center of the table,
00:11 a drying rack with cups and a plate, and
00:14 you standing nearby with your hand on the table.
00:18 >> Humanoid robots are having a moment.
00:20 A decade or two ago, it was a struggle to get robots to walk,
00:24 not to mention respond to spoken requests.
00:27 Now, armed with advancements in artificial intelligence,
00:30 a gaggle of companies are at work on these bipedal creations.
00:34 Serial entrepreneur Brett Adcock founded Robot Maker Figure less than two years
00:38 ago and has lured some of the biggest names in tech and AI as investors.
00:42 Adcock is riding high on the progress that his 23-month-old robot startup has
00:46 made so far, working out of converted warehouse offices in Sunnyvale,
00:51 California.
00:52 He took an indirect path to his current ultra-competitive pursuit.
00:56 He grew up on a soybean farm in Moico, Illinois, run by his parents before
01:00 graduating from University of Florida with a business degree in 2008.
01:04 After he graduated from university, he worked on Wall Street and
01:07 then founded two other startups.
01:10 By August 2022, Adcock had eight employees.
01:13 Now it's up to 80 and
01:15 growing, with employees joining from some of the top tech companies.
01:20 >> There are no commercially viable humanoid companies today that are in
01:24 the market making money.
01:26 So I would say at the surface level,
01:29 we have to introduce a product in the market that's never been done before.
01:33 It's just a huge technical fee, it's a huge integration burden,
01:37 it's a safety burden, it's a cost area of focus.
01:40 It's just an extremely difficult thing, a challenging business to be building.
01:45 Along the way, we've had to go build a team from scratch.
01:48 I probably spent the first year in a really cramped phone booth calling
01:51 everybody in the world trying to convince them to come over here.
01:54 It's always hard trying to hire great people.
01:57 I feel very confident and
01:58 fortunate that we have some of the best engineers in the world here today.
02:01 >> It was very obvious even when I first met him, he moves fast.
02:06 He is an organizer and is able to sort of collect incredible people and
02:09 organize those teams.
02:11 And he's highly commercial.
02:13 And so he sees what needs to be done to truly bring these technologies
02:17 to market.
02:18 [MUSIC]
02:21 >> In the past, robots have taken years to design and build, but
02:24 FIGURE is all about speed.
02:26 >> At FIGURE, we believe getting to market faster is super healthy.
02:30 From an engineering perspective,
02:31 we have basically an iterative design approach to engineering.
02:35 Which means we spend less time on research and development and
02:38 analyzing things.
02:39 We spend more time on just building and testing products.
02:43 >> Very quickly became obvious to us that this was like back and
02:47 forth between the two of us.
02:50 >> We're in a world of technology,
02:52 where it's very rare to have a new technology that has no incumbents and
02:56 is unregulated.
02:58 And the reality is, if this technology works, everything changes.
03:03 >> Artificial intelligence will be the backbone to basically everything we do
03:06 that will help control the robot, to help observe the physical world,
03:09 plan actions, do prediction.
03:12 >> In March 2024, FIGURE publicly released a video demonstrating its
03:17 technology.
03:17 >> Just on the scene right now,
03:19 where do you think the dishes in front of you go next?
03:21 [MUSIC]
03:27 >> The dishes on the table, like that plate and
03:30 cup, are likely to go into the drying rack next.
03:33 >> Great, can you put them there?
03:34 [MUSIC]
03:39 >> Of course.
03:40 [MUSIC]
03:50 >> At a high level, the robot has so many different ways it can move.
03:59 >> Right.
04:00 >> Sitting there writing code for
04:01 every single thing it needs to do, like make coffee or do work in manufacturing.
04:05 >> That would take forever, right?
04:06 >> Forever, so impossible to do.
04:08 So we need a better way of doing that.
04:09 We think that way is through AI training.
04:12 So we have a whole AI team that works on how we train the robot to do useful
04:15 work all day long in these structured environments.
04:19 >> FIGURE has a 3D printer on site, and it makes things like printed circuit boards
04:24 and improvements to the motors called actuators.
04:27 >> Here we are designing new generations of electric motors.
04:31 These motors are used all throughout the robot to make it move around.
04:35 There's an electric motor in here,
04:37 very similar to what you'd have in an electric car.
04:39 And then we have extra sensors and
04:41 other things in here that you might not see, that we also designed here in house.
04:45 >> Naturally, I think a lot of people are still hesitant about the evolution of
04:48 robots, especially humanoids.
04:50 >> The interesting thing here is our robot looks like a human.
04:52 So we can gather human-like data for humans doing demonstrations of things.
04:57 And if we can train our robot to do it, that's the holy grail for us.
04:59 >> Robots interacting with humans is fundamental to our business.
05:02 If we can't have robots interacting with humans every single day,
05:06 it's gonna be very limiting for a humanoid.
05:08 We really need to be able to talk to robots as probably the main default
05:13 user interface.
05:14 We need to be able to interact next to them safely.
05:17 We need to have the robots also safely integrated into a home, so
05:20 we don't want them falling over, damaging things, hurting people.
05:24 So safety is core to our mission of being able to work next to humans every
05:27 single day.
05:28 >> And of course, there's a fear that robots will take jobs away from humans.
05:32 It's very easy to run into concerns around a dystopian future of what
05:37 a humanoid will be.
05:38 But again, after our work,
05:40 it just became obvious of how large the need is for these.
05:44 With the labor gap that's happening, not just in the US, but globally,
05:47 where there's a few million jobs that humans don't want, or
05:51 they're not showing up to day to day.
05:53 And it's very low hanging fruit to have a couple million of these robots out there
05:56 doing jobs that we don't wanna do.
05:58 If you walk into a manufacturing or warehouse plant today,
06:03 they're losing 50 to 150% turnover every single year.
06:07 People just don't wanna do these jobs where they walk ten miles a day, or
06:09 they grab 50 items an hour, or
06:11 it's next to things that are getting spot welded and it's very unsafe.
06:16 And we have 10 million jobs that are open in the US and nobody wants.
06:20 And we also have a collapse in the amount of workers in the workforce.
06:23 So there's this huge labor crisis that's going on that's really not well reported.
06:27 And we wanna go and help solve that.
06:29 So I think it's gonna be quite a long time before we're ever really taking
06:33 people's jobs in a significant way.
06:34 I think what we're really seeing is a labor crisis that we can go in and
06:37 help basically help put that void.
06:40 [MUSIC]
06:47 >> Robot workers may soon become a reality.
06:50 Companies like BMW are exploring the possibility of putting figures robots
06:53 into their factory line.
06:55 We've chosen to work with groups like BMW that are aligned with us on getting
07:00 robots in the market quicker and then scaling out as fast as we can.
07:03 We hope to launch over the next 12 to 24 months in Spartanburg,
07:07 South Carolina, which is their largest plant globally in terms of production
07:11 volume.
07:12 A lot of the work we're doing with them is revolved around working the body shop
07:15 with manufacturing, moving sheet metal, working the warehouse logistics,
07:18 moving bins and boxes and other type of tasks.
07:21 There's thousands of those type of tasks that need to be automated,
07:24 those facilities.
07:25 We hope over the next 12 to 24 months,
07:27 we're starting to have real robots in real facilities at our clients.
07:31 This is one of these areas where a lot of the folks here, myself,
07:34 we've been dreaming about this for a long time since I was a kid.
07:36 Having a chance to come in here every day and work on a humanoid robot and
07:39 actually integrate into the real world is, we're just super fortunate to be here and
07:43 we're working as hard as possible.
07:45 >> A lot has to happen before humanoid robots are an everyday thing at
07:51 even factories around the country.
07:52 One of them is figuring out the power issue.
07:55 Figures lithium ion batteries are last just two hours right now.
07:58 And right now, their version of the robot still has a black cord dragging behind it
08:02 that connects to a computer.
08:04 The next version of this robot will carry its own computer and
08:06 be cordless, I'm told.
08:08 Can robots learn everything they need to do?
08:10 That may take some time.
08:12 >> I think once we start seeing robots in the real world, doing everyday tasks,
08:15 helping humans, doing real work every single day, it'll feel like 30 years of
08:20 the future, 50 years of the future is pulled forward.
08:22 It'll be pretty magical.
08:23 [MUSIC]
08:33 [BLANK_AUDIO]

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