Xiangqi Wang

East China University of Science and Technology

Papers

Total Citations

H-Index

About

Xiangqi Wang is a pioneering researcher in human-robot interaction and assistive robotics, with a focus on using biosignal processing to enhance quality of life for individuals with disabilities. Wang’s key research areas include electromyography (EMG)-based control systems, rehabilitation robotics, and meal assistance technologies. In their seminal 2007 work, "Human Intention Extracted from Electromyography Signals for Tracking Motion of Meal Assistance Robot," Wang demonstrated that surface EMG signals could be reliably decoded into five distinct commands to control a robotic arm, enabling intuitive motion tracking for feeding tasks. This foundational study, which has garnered 8 citations, laid critical groundwork for non-invasive, intention-driven robotic assistance. Wang’s contributions bridge the gap between neural signal interpretation and practical assistive devices, offering a pathway for more autonomous and responsive support systems. By translating muscle activity into actionable robotic commands, Wang has advanced the field of human-machine interfaces, empowering users with limited mobility. Their work remains a touchstone for researchers developing EMG-driven prosthetics and assistive robots, highlighting the potential of biosignal-based control to restore independence and dignity in daily activities.