Using human gaze in few-shot imitation learning for robot manipulation
Shogo Hamano,Heecheol Kim,Yoshiyuki Ohmura,Yasuo Kuniyoshi,Shogo Hamano,Heecheol Kim,Yoshiyuki Ohmura,Yasuo Kuniyoshi
Imitation learning has attracted attention as a method for realizing complex robot control without programmed robot behavior. Meta-imitation learning has been proposed to solve the high cost of data collection and low generalizability to new tasks that imitation learning suffers from. Meta-imitation can learn new tasks involving unknown objects from a small amount of data by learning multiple task...