This project focuses on applying deep reinforcement learning to acquire a robust policy that allows robots to grasp diverse objects from compact 3D observations in the form of octrees. Evaluation of a ...

Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the substantial ...