The Physical Turing Test: Solving General Purpose Robotics
- Jim Fan, Distinguished Scientist, NVIDIA
About This Talk
Discover how universal robot foundation models enable general intelligence across different hardware platforms. Skild AI's Deepak Pathak explains sim-to-real transfer learning, curiosity-driven exploration, and training a single model to control any robot. Featured at Actuate, Foxglove's annual conference for robotics developers.
Speaker
Deepak Pathak is CEO & Co-Founder of Skild AI and Professor at Carnegie Mellon University working on developing an AI foundation model for robotics. He is known for pioneering contributions to AI including self-supervised learning, artificial curiosity and sim2real adaptation for robot learning. Deepak has received several prestigious honors including Sloan Fellow, MIT TR 35under35, Okawa Fellow, IIT Kanpur Young Alumnus Award and multiple Best Paper Awards. Deepak's research has been featured in popular press outlets, including The Economist, The Wall Street Journal, Forbes, Quanta Magazine, Washington Post, CNET, Wired, and MIT Technology Review among others. Earlier, he received his Ph.D. from UC Berkeley and his Bachelor's from IIT Kanpur with a Gold Medal in Computer Science.
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