Robotics
Humanoid robots need to coordinate physically with people—lifting, handing over, steadying—but we lack data of humans interacting with robots. What if they learned from humans interacting with humans? The catch: simply mapping human motions onto a robot often breaks crucial touches and supports. The team proposes PAIR (Physics-Aware
Robotics
Robots that learn by watching you What if multi-fingered robots could pick up everyday skills just by watching people in the real world? A new framework, AINA, takes a big step toward that. Using lightweight Aria Gen 2 smart glasses, anyone can record natural demonstrations at home, in the office,
ImitationLearning
What if AI could learn skills the way people do - by watching and copying? This new survey maps the fast-moving world of imitation learning (IL) in the deep learning era. * Data: from full expert trajectories to partial or unlabeled sequences. * New methods tackle big pain points: generalization, covariate shift,