Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-place

no code implementations • 17 Sep 2023 • Wenxing Liu, Hanlin Niu, Robert Skilton, Joaquin Carrasco

This paper proposes a self-supervised vision-based DRL method that allows robots to pick and place objects effectively and efficiently when directly transferring a training model from simulation to the real world.

reinforcement-learning