Force Trajectory

Force trajectory research focuses on accurately modeling, controlling, and interpreting forces applied during dynamic interactions, particularly in robotics and biomechanics. Current efforts concentrate on developing robust control algorithms, including deep reinforcement learning and model-based approaches like disturbance observers, to achieve precise force tracking in diverse applications such as robotic manipulation and prosthetic control. This work leverages both numerical simulations and experimental validation, often incorporating invariant descriptors to generalize across different tasks and environments, ultimately aiming to improve the safety, efficiency, and adaptability of robotic systems and enhance our understanding of human movement.