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XinGang Zhao

6 accepted papers

2026

Design, Control, and Evaluation of a Modular Variable Configuration Rehabilitation Robot for Early Physical Therapy

RA-L 2026

This paper proposes a modular variable configuration rehabilitation robot (MVCRR), aiming to meet the needs of multi-functional, full-cycle rehabilitation. MVCRR integrates a lower-limb training module and a-sit-to-stand module, offering 16 actuated degrees of freedom and supporting four rehabilitat

Cited by 0SourceScholar
2025

Artificial Muscle: A Sarcomere-inspired Magnetic Approach

IROS 2025

Soft artificial muscle actuators have gained attention in robotics for their remote control, fast response, and high compliance. However, replicating the intricate and efficient motions of natural muscles remains a challenge. Existing designs often lack the hierarchical and anisotropic properties of

Cited by 0SourceScholar
2024

Design and Analysis of Soft Hybrid-Driven Manipulator with Variable Stiffness and Multiple Motion Patterns

ICRA 2024poster

Soft manipulators offer the advantages of safety and adaptability. However, due to insufficient stiffness and single motion mode limitations, existing soft manipulators usually exhibit low load capacity and small working space. To address this problem, we propose a novel soft hybrid-driven manipulat…

Cited by 0SourceScholar
2022

A Novel Limbs-Free Variable Structure Wheelchair based on Face-Computer Interface (FCI) with Shared Control

ICRA 2022poster

In order to meet the mobility and physical activity needs of people with impaired limbs function, a novel limbs-free variable structure wheelchair system controled by face-computer interface (FCI) was developed in this study. FCI used facial electromyography (fEMG) as a human intention recognition m…

Cited by 2SourceScholar
2015

An user-independent gesture recognition method based on sEMG decomposition

IROS 2015poster

sEMG recognition has been used extensively in prosthetic device control, human-assisting manipulators and sign language recognition, etc. However, the sEMG recognition model, trained with one subject's sEMG data, is not applicable to the other subjects, which hinders the practical application of myo…

Cited by 20SourceScholar