Jiuming Guo

Model-driven reinforcement learning and action dimension extension method for efficient asymmetric assembly

Complex assembly tasks remain huge challenge for robots because the traditional control methods rely on complicated contact state analysis. Reinforcement learning (RL) becomes one of the preferred embodiments to construct the control strategy of complex tasks. In this paper, the method of model-driv…