An Chi Guo
Papers
2
Total Citations
8
H-Index
1
About
An Chi Guo’s research lies at the intersection of rehabilitation robotics and neuromuscular control, with a primary focus on understanding how assistive robots influence human movement. Her work centers on the sit-to-stand (STS) transition—a fundamental daily activity that becomes increasingly difficult for older adults and individuals with physical disabilities. Guo’s major contribution is her pioneering use of muscle synergy analysis to decode the neural coordination patterns underlying STS movements. In her most-cited paper (2021, 7 citations), she demonstrated how assistive robots alter muscle coordination during STS, revealing that robotic support does not simply reduce effort but reshapes the underlying neuromuscular strategy. Her 2025 follow-up (1 citation) extends this work by constructing spatial muscle synergy networks, comparing self-executed and robot-assisted transitions across six subjects. This network-based approach offers a novel framework for designing more intuitive, biologically aligned assistive devices. By bridging robotics with neuroscience, Guo provides critical insights for developing rehabilitation technologies that preserve natural motor control—work that holds significant promise for aging populations and those with mobility impairments.
Research Focus
Key Achievements
Top Papers
- 1Effect of Assist Robot on Muscle Synergy during Sit-to-Stand Movement7 citations · 2021
- 2