A hybrid badminton robot, combining model-based wheel control with a learning-based arm policy trained by imitation and reinforcement learning, returns 94.5 percent of serving-machine shots.
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops,
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Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
A hybrid badminton robot, combining model-based wheel control with a learning-based arm policy trained by imitation and reinforcement learning, returns 94.5 percent of serving-machine shots.