Memory-based gaze prediction in deep imitation learning for robot manipulation
Heecheol Kim,Yoshiyuki Ohmura,Yasuo Kuniyoshi,Heecheol Kim,Yoshiyuki Ohmura,Yasuo Kuniyoshi
Deep imitation learning is a promising approach that does not require hard-coded control rules in autonomous robot manipulation. The current applications of deep imitation learning to robot manipulation have been limited to reactive control based on the states at the current time step. However, future robots will also be required to solve tasks utilizing their memory obtained by experience in comp...
