Yu Wen

A survey on deep reinforcement learning for human-robot interaction

Deep reinforcement learning (DRL) is reshaping human-robot interaction (HRI) control beyond fixed admittance/impedance laws. This survey bridges classical HRI control and DRL, then organises recent work into four paradigms: physical HRI via admittance shaping, learning from demonstration and feedback, multi-agent and s...