Lixing Jin — accepted AI-conference papers

2026

Harmonic Principle-Based Adjustable Constant-Force Mechanism for Stable Human-Robot Interaction in Massage Robotics

Lixing Jin, Xuanquan Wang, Xinchun Wang, Xingguang Duan, Li Zhang

RA-L 2026

Stable and precise force contact is critical in human-robot interaction, typically requiring precise sensors and advanced algorithms. This paper presents a novel adjustable constant-force mechanism (CFM) serving as a force generator for massage robotic systems, aiming to reduce hardware costs and sy

Cited by 0 Source ↗Scholar ↗

2024

Passive Gravity Compensation for Parallel Mechanism With Both Spatial Translations and Angular Orientations

Lixing Jin, Xiaolong Zhu, Jiale Huan, Changsheng Li, Xingguang Duan

RA-L 2024

Passive compensation has been proven to be effective in reducing gravitational joint loads and improving the output capability of mechanisms. Existing methods for passive compensation are not satisfactory in terms of mechanism complexity and implementation convenience, while cases with variable angu

Cited by 2 Source ↗Scholar ↗