Xiaorong Feng
Papers
2
Total Citations
9
H-Index
2
About
Xiaorong Feng is a robotics researcher whose work bridges the gap between human physiology and automated control systems. Her primary research areas include robotic manipulator control, trajectory planning, and the integration of biosignal processing for human-robot interaction. In her most impactful work, Feng developed a multi-degree-of-freedom trajectory tracking control system for the Dobot robotic arm, integrating robot dynamics and motion control strategies to enhance precision in experimental platforms—a foundational contribution that has garnered 6 citations. She further advanced the field by pioneering a real-time control method for KUKA robots using surface electromyography (sEMG) signals. By employing a support vector regression model optimized with a cuckoo algorithm and steepest descent method, she enabled wrist angle estimation from forearm muscle activity, reducing training time while improving model accuracy. This innovative approach to intuitive robotic control, cited 3 times, demonstrates her commitment to creating more accessible and responsive automation systems. Feng’s work stands at the intersection of mechatronics and biomedical engineering, offering practical pathways for assistive robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
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