Abdullah Mustafa

Non-Prehensile Throwing: A Reinforcement Learning Perspective

This work proposes a reinforcement learning approach that additionally leverages sliding and rolling contact modes and directly optimizes joint-space trajectories without analytical contact models or custom parameterizations, and minimize the robot-dynamics gap through minimum-jerk system identification and train uncer...