TED Talks Daily - Next up for AI? Dancing robots | Catie Cuan

Episode Date: July 1, 2024

Would you tango with a robot? Inviting us into the fascinating world of dancing machines, robot choreographer Catie Cuan highlights why teaching robots to move with grace, intention and emoti...on is essential to creating AI-powered machines we will want to welcome into our daily lives.

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Starting point is 00:00:00 TED Audio Collective. You're listening to TED Talks Daily, where we bring you new ideas to spark your curiosity every day. I'm your host, Elise Hu. Choreographer Katie Kwan spends her days teaching students how to dance. But her students aren't your average dancers. In fact, they aren't even human. In her talk, she makes the case for why we need to teach robots how to dance. After the break.
Starting point is 00:00:36 Support for this show comes from Airbnb. If you know me, you know I love staying in Airbnbs when I travel. They make my family feel most at home when we're away from home. As we settled down at our Airbnb during a recent vacation to Palm Springs, I pictured my own home sitting empty. Wouldn't it be smart and better put to use welcoming a family like mine by hosting it on Airbnb? It feels like the practical thing to do, and with the extra income, I could save up for renovations to make the space even more inviting for ourselves and for future guests. Your home might be worth more than you think. Find out how much at airbnb.ca slash host. AI keeping you up at night? Wondering what it means for your business?
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Starting point is 00:02:56 get your podcasts. And now, our TED Talk of the day. I have an unusual job. I teach robots how to dance. In 2017, I transitioned from dancing on stages with humans to dancing with robots. Big robots, small robots, single arms, and roving robots. Robots that fly, vacuuming robots, a lot of robots that look like humans, and a whole bunch that don't. I'm pretty sure I've choreographed and danced with more different types of robots than anyone on Earth. Why do I do this? Because robots move,
Starting point is 00:03:39 and choreographers understand how movement affects us. If a robot slides politely out of a doorway to let you pass, it might make you feel seen and acknowledged. If a robot marches quickly towards you and avoids you at the last second, it might cause revulsion and fear. Robots are beginning to show up in our everyday environments, from sidewalks to offices, backyards to hospitals, and they will be threatening and confusing to us
Starting point is 00:04:06 if we do not carefully examine how they move. I'm also a roboticist and an engineer. I study this connection between robot motion and emotion. I combine my expertise in robotics and dance in the emerging field of choreorobotics, the intersection of dance and the emerging field of choreorobotics, the intersection of dance and robotics. Right now, we're giving AI a robot body with physical intelligence. AI technologies like GPT and Gemini are becoming the robots' brains,
Starting point is 00:04:38 which means that robots are getting smarter, much smarter. Think of what AI has already done to text and video generation. We are just scratching the surface on seeing what AI can do in the physical world. We are going to be interacting with these new intelligent robots more and more, interacting with them through movement. Roboticists already spend a lot of time thinking about movement,
Starting point is 00:05:07 but they think about it in terms of efficiency, optimizing for speed or success. That's not enough. We need to teach robots how to dance. If a robot can dance, make every movement with intention, agility, balance, emotional expression and grace, I believe they will also become better caregivers,
Starting point is 00:05:30 teachers and companions. It will help us build better, general-purpose robots that we actually want to live amongst us. If we teach robots to dance, we expand the future of intelligent machines. Choreographers and engineers have made Dances with Robots since the 1990s, and these highly scripted performances have captured the public's imagination. They've made us feel wonder, made us laugh, made us want to dance along,
Starting point is 00:06:02 and sometimes made us never want to meet a robot in real life. Dancing with robots is no longer just about art or entertainment. It is about transferring the lessons that, one, all movement changes emotions, and two, contextual movement is critically important and applying those lessons to robots in our everyday lives. Robotics engineers are beginning to consider emotion and context when designing intelligent machines that interact with us.
Starting point is 00:06:37 The choices we make now are going to dictate how we live our lives with robots. If we get this right, robots will be more welcomed, safe and delightful. Humans will be more empowered and comfortable. And now, back to the episode. Before AI, programmers needed hours to script a simple dance sequence for a robot to perform. Just like they needed hours to script the robot to open a single door.
Starting point is 00:07:15 With AI, you can teach the robot to open just a few specific doors, and it will learn to open all of them, even ones it hasn't seen before. It's also true for dance. You can teach the robot to dance with a specific person, and it will learn how to dance and move with many others in many different environments and circumstances. This is what I did at Everyday Robots, then a robot AI moonshot at Google.
Starting point is 00:07:44 But rather than teach one robot, I used AI to teach 15 robots how to move together as a flock. We imagined a world where you could walk down a hallway filled with robots, and they would part to make space for you, like a flock of doves or a crowd of people on a city street. Where a robot could navigate seamlessly and even beautifully through a busy, chaotic Times Square. The world we live in
Starting point is 00:08:14 is complicated for robots to understand, so it was impossible to script or choreograph interactions like these step by step. We needed to use the magic of AI to teach the robots how to improvise and react. This was a massive challenge that had never been done before. And the result is an interactive performance and installation work called Project Starling. This took us two years of hardcore engineering to complete. We trained an AI agent on the preferences of a choreographer, me.
Starting point is 00:08:47 I chose the most engaging patterns and sequences. We also taught the robots how to recognize and respond to human gestures. While we were at it, we turned the robots into musical instruments. Each joint on the robot was mapped to a different sound. When the robot's torso moved, it triggered a bass sound. Its hand opening and closing triggered a bell sound.
Starting point is 00:09:16 The robot's actions created its own unique symphony. I wanted it to feel like stepping out of your normal reality and into a waking dream, one that was so far from where we stand today, yet all the same felt like a world where your kids could grow up and feel calm, where you could be surrounded by machines and it felt natural and safe. People were drawn to just wander amongst these robots. You know, some were a bit tentative at first, but then they began to engage and explore with curiosity and playfulness. People kept coming back. What we learned about gesture, navigation, human interaction interaction and expression can be applied to robots more generally.
Starting point is 00:10:08 Think of the following future scenario. A robot in a senior living facility waiting in a crowded cafe. You sit at your table, you wave over to it, make a sipping gesture, and the robot understands that you would like a glass of water. And when it drives over to you with its glass of water, it nods at the other people it passes and pauses graciously to let them go by. And when it arrives at your table, it places the glass gracefully down. And when you thank it, it nods in acknowledgement. Maybe it even performs a small celebratory dance in place. We can choose to build and program robots that we welcome.
Starting point is 00:10:56 Robots that make us feel understood. Robots that we want to spend time with. The promise of robots that will live and work amongst us has existed for a very long time. From Carol Capek's 1920 play, Rossum's Universal Robots, to the Jetsons' Rosie the Robot, to C-3PO of Star Wars, and even Terminator,
Starting point is 00:11:21 these stories have been deeply impactful in what we imagine and build. Yes, we can have robots that do our chores. But we can also have robots be our dance partners. Humans do a range of things. Ceramics to diplomacy, singing in choirs to vertical farming. Imagine a world where robots can do a myriad of things that are functional or creative,
Starting point is 00:11:51 and everything in between. General-purpose robots are coming, and they will help us to address big demographic challenges, like aging populations and massive labor shortages. And how they move will unlock whether we let them into our homes and welcome them in our workplaces. Because we want to feel like we're still marvelously human in this increasingly AI world.
Starting point is 00:12:22 And we can, because we have the power to choreograph the future we want. Thank you. Support for this show comes from Airbnb. If you know me, you know I love staying in Airbnbs when I travel. They make my family feel most at home when we're away from home. As we settled down at our Airbnb during a recent vacation to Palm Springs, I pictured my own home sitting empty. Wouldn't it be smart and better put to use
Starting point is 00:12:53 welcoming a family like mine by hosting it on Airbnb? It feels like the practical thing to do, and with the extra income, I could save up for renovations to make the space even more inviting for ourselves and for future guests. Your home might be worth more than you think. Find out how much at airbnb.ca slash host.
Starting point is 00:13:17 That was Katie Kwan at TED 2024. If you're curious about TED's curation, find out more at TED.com slash curation guidelines. And that's it for today. TED Talks Daily is part of the TED Audio Collective. This episode was produced and edited by our team, Martha Estefanos, Oliver Friedman, Brian Green, Autumn Thompson, and Alejandra Salazar. It was mixed by Christopher Fazi-Bogan. Additional support from Emma Taubner, Daniela Balarezo, and Will Hennessy. I'm Elise Hugh. I'll be back tomorrow with a fresh idea for your feed. Thanks for listening.
Starting point is 00:13:51 Looking for a fun challenge to share with your friends and family? TED now has games designed to keep your mind sharp while having fun. Visit TED.com slash games to explore the joy and wonder of TED Games.

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