Can Diffusion-Based Planners Outperform Classical Reinforcement Learning in Manipulation?
Introduction to Manipulation Tasks Manipulation tasks in robotics encompass a wide array of activities where robots interact with objects to achieve specific goals. These tasks range from simple actions, such as pick and place operations, to complex sequences involving multiple movements and adjustments. The significance of these tasks lies in their applicability across various industries, […]