Mingxuan Ding — accepted AI-conference papers

2026

A Type of Actuator with Large Deformation and Load Capacity: Design and Modeling

Lingzhe Meng, Xinyu Wang, Zhuhong Ying, Mingxuan Ding, Peng Jia, Feihong Yun +1

ICRA 2026poster

Flexible actuators have garnered extensive attention due to their flexibility and versatility. However, they still exhibit significant limitations in load capacity and structural stiffness. We have developed a multifunctional rigid-flexible coupled actuator with large deformation and high load capac…

Cited by 0 Scholar ↗

2024

Enhancing Joint Dynamics Modeling for Underwater Robotics Through Stochastic Extension

Mingxuan Ding, Gang Wang, Lingzhe Meng, Jixin Wang, Liquan Wang, Dake Lu +3

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

Cited by 1 Source ↗Scholar ↗