Robot Learning with Inspiration from Child Development

Watch a comprehensive lecture by distinguished professor Jitendra Malik exploring the intersection of robot learning and child development principles. Discover cutting-edge research in robotics focusing on three key areas: locomotion achievements in humanoid walking across challenging environments, navigation capabilities enabling robots to locate specific objects in unfamiliar settings, and dexterous manipulation tasks including in-hand rotation and bottle cap manipulation. Learn how reinforcement learning in simulation, sim-to-real transfer, and multimodal perception combining vision, touch, and proprioception are advancing robotic capabilities. Explore how visual imitation and 4D reconstruction of human bodies, hands, and objects are addressing the challenge of limited training data in robotics. Benefit from the insights of an acclaimed researcher whose work has earned multiple best paper awards and who has significantly contributed to computer vision, machine learning, and robotics through concepts like anisotropic diffusion, normalized cuts, and rapid motor adaptation.