Towards Adaptive Interaction Strategies for Human Companion Robot via Deep Reinforcement Learning
Multibody/Robotics
Proposes adaptive interaction strategies for companion robots using deep reinforcement learning, overcoming traditional fixed-position tracking limitations to enable flexible robot accompaniment in dynamic workspaces.
See LICENSE file Deep Reinforcement LearningHuman-Robot InteractionCompanion Robot