Home /Research /Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation
MANIPULATION

Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation

Hanbit Oh, Hikaru Sasaki, Brendan Michael, Takamitsu Matsubara

Year
2022
Citations
14

Keywords

Computer scienceArtificial intelligenceMachine learningRobotFlexibility (engineering)Robustness (evolution)ImitationGeneralizability theoryTask (project management)Reinforcement learning

Related papers

Browse all MANIPULATION papers