Whole Body Motion

Whole-body motion research focuses on generating and controlling the complex movements of robots and humans, aiming to create realistic and efficient locomotion, manipulation, and interaction. Current research emphasizes developing computationally efficient control algorithms, often employing hierarchical generative models, transformers, and nonlinear model predictive control (MPC) to handle the high dimensionality of whole-body dynamics. These advancements are driving progress in areas like human-robot collaboration, realistic motion synthesis for animation and virtual reality, and the development of more agile and adaptable robots capable of performing complex tasks. The ultimate goal is to create systems that can seamlessly integrate whole-body motion into diverse applications.