Robot Learning in Mixed Adversarial and Collaborative Settings
Seung Hee Yoon,Stefanos Nikolaidis,Seung Hee Yoon,Stefanos Nikolaidis
Previous work has shown that interacting with a human adversary can significantly improve the efficiency of the learning process in robot grasping. However, people are not consistent in applying adversarial forces; instead they may alternate between acting antagonistically with the robot or helping the robot achieve its tasks. We propose a physical framework for robot learning in a mixed adversari...
