Papers
2
Total Citations
12
H-Index
2
About
Hongli Chen’s research lies at the intersection of robotics, control systems, and human–machine interaction, with a focus on developing intelligent robotic systems for practical applications. Chen’s major contributions include pioneering work on the Massagebot, a novel 2-DOF massaging robot designed to climb along acupuncture points on the human back, capable of performing scratching and shaking motions for therapeutic massage. This innovative prototype, detailed in a 2016 paper (7 citations), showcases Chen’s ability to integrate mechanical design with path planning for healthcare robotics. Additionally, Chen has advanced control theory by addressing the persistent buffeting problem in sliding-mode control for robot manipulators. In a 2009 paper (5 citations), Chen proposed a neural sliding-mode control method incorporating a filter, combining neural networks with variable structure control to achieve smoother, more accurate trajectory tracking. This work demonstrates a keen ability to merge theoretical rigor with practical implementation. While citation counts are modest, Chen’s contributions are notable for their creativity and potential impact on rehabilitation and assistive robotics. Researchers and students interested in medical robotics, nonlinear control, or bio-inspired design will find Chen’s work a valuable foundation for exploring how robots can safely and effectively interact with the human body.
Research Focus
Key Achievements
Top Papers
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