Shahram Eivazi

Synthesizing Depowdering Trajectories for Robot Arms using Deep Reinforcement Learning

Research into robotics applications of deep reinforcement learning (DRL) has increasingly been focussed on learning precise object manipulation and trajectory planning. Extending these tasks to continuous robot-object interactions with the surface of complex geometries remains an open problem. In th