Whole Body Manipulation

Whole-body manipulation in robotics aims to enable robots to use their entire body, not just arms, for complex tasks involving interaction with objects. Current research focuses on developing robust control methods, often employing neural networks and reinforcement learning algorithms, to handle the high dimensionality and complex dynamics of whole-body movements, including adapting to varying object properties and robot morphologies. This research is significant because it paves the way for more versatile and adaptable robots capable of performing a wider range of tasks in unstructured environments, impacting fields such as manufacturing, logistics, and search and rescue.