Changhuang Wan — accepted AI-conference papers

2026

Rigidity-Based Multi-Finger Coordination for Precise In-Hand Manipulation of Force-Sensitive Objects

Xinan Rong, Changhuang Wan, Aochen He, Xiaolong Li, Gangshan Jing

RA-L 2026

Precise in-hand manipulation of force-sensitive objects typically requires judicious coordinated force planning as well as accurate contact force feedback and control. Unlike multi-arm platforms with gripper end effectors, multi-fingered hands rely solely on fingertip point contacts and are not able

Cited by 0 Source ↗Scholar ↗

2020

Motion Planning and Task Allocation for a Jumping Rover Team

Kai Chuen Tan, Myungjin Jung, Isaac Shyu, Changhuang Wan, Ran Dai

ICRA 2020poster

This paper presents a cooperative robotic team composed of unmanned ground vehicles (UGVs) with hybrid operational modes to tackle the multiple traveling salesman problem (mTSP) with obstacles. The hybrid operational modes allow every UGV in the team to not only travel on a ground surface but also j…

Cited by 13 Source ↗Scholar ↗