Papers
3
Total Citations
38
H-Index
3
About
Chuheng Chen is a pioneering researcher in the field of assistive robotics, with a primary focus on developing intelligent systems for mobility-impaired individuals. His work centers on three key areas: gait phase estimation for powered prostheses, environmental perception for walking-aid robots, and human-robot interaction for fall prevention. Chen's most impactful contribution is his piecewise monotonic gait phase estimation model, which addresses a critical challenge in controlling powered transfemoral prostheses across various locomotion modes. This work, with 25 citations, provides a robust alternative to traditional integration or differential methods for estimating gait phases from thigh angle measurements. He has also advanced staircase perception for walking-aid robots, developing a feature extraction method that performs reliably under restricted viewpoints and dynamic conditions. Additionally, Chen's research on walking-cane robots includes innovative human-following algorithms and fall gesture recognition systems, demonstrating a comprehensive approach to user safety and autonomy. His work, published in 2022-2024, has already garnered significant attention, with his most-cited paper establishing a foundation for future gait-based control systems in robotic prostheses and walking aids.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3