Congzhe Wang — accepted AI-conference papers

2025

RAR-6: An Optimized Reconfigurable Asymmetric 6-DOF Haptic Robot for Gross and Fine Motor Tasks

Changqi Zhang, Cui Wang, Congzhe Wang, Mingming Zhang

ICRA 2025

Robot-assisted task-oriented training demonstrates immense potential in rehabilitation area. Parallel robots, with advantages such as low inertia and high stiffness, facilitate precise haptic feedback, yet their application in rehabilitation is limited by workspace constraints. To this end, we propo

Cited by 0 Source ↗Scholar ↗

2021

Two-Stage Optimization of a Reconfigurable Asymmetric 6-DOF Haptic Robot for Task-Specific Workspace

Changqi Zhang, Congzhe Wang, Qing Miao, Mingming Zhang

IROS 2021poster

Parallel mechanisms (PMs) are commonly used for developing haptic devices due to low inertia, high rigidity and precision. However, limited workspace impedes their application for task-oriented robotic therapy which generally requires large motion ranges. To solve this problem, first, a PM- based re…

Cited by 2 Source ↗Scholar ↗