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Model-free and model-based time-optimal control of a badminton robot
2013
2013 9th Asian Control Conference (ASCC)
In this research, time optimal control is considered for the hit motion of a badminton robot during a serve operation. For this task the racket always starts at rest in a given position and has to move to a target state, defined by a target position and a non-zero target velocity. The goal is to complete these motions in as little time as possible, yet without violating bounds on the actuator. To find controllers satisfying these requirements, a reinforcement learning approach has been
doi:10.1109/ascc.2013.6606242
dblp:conf/ascc/LiuDPGB13
fatcat:f33ygorfqnc4lmxiazpn4kzcqm