2024
Enhancing Joint Dynamics Modeling for Underwater Robotics Through Stochastic Extension
RA-L 2024
Accurate joint dynamics models are essential for the compliance and robustness of robot control, especially for robots operating in complex underwater environments. To improve the precision of joint dynamics models, much research focuses on refining specific parameters or incorporating previously ov