Foundation Model-Driven Imitation Learning for Robots Without Manual Object Specification
A central challenge in collaborative robotics is enabling robots to acquire new skills directly from human demonstrations without requiring prior knowledge of the objects involved. We present a system that records user activities and decomposes them into primitive actions by analyzing hand trajectories, gaze-based atte...