Xiaoling Li
Papers
5
Total Citations
78
H-Index
4
About
Dr. Xiaoling Li is a leading researcher in rehabilitation robotics and human-robot interaction, with a focus on developing intuitive, wearable interfaces for assistive and teleoperation systems. Her work bridges biomechanics, sensor fusion, and machine learning to create robots that respond naturally to human intent. Dr. Li’s most cited paper (31 citations) introduces a surface electromyography-controlled lightweight upper arm exoskeleton for muscle strength rehabilitation, addressing a critical gap in post-stroke therapy. She has also pioneered an IMU-based motion capture method with adaptive tremor attenuation (18 citations), significantly improving teleoperation precision in unstructured environments. Her contributions extend to ultrasonic tactile force feedback (15 citations) and enhanced object detection using improved YOLOv5 (13 citations), both advancing remote robot control. Notably, her 2025 work on a wearable myoelectric armband demonstrates a highly intuitive human-robot interface, enabling seamless user takeover in complex scenarios. With a growing citation impact and a portfolio of innovations in exoskeletons, teleoperation, and haptic feedback, Dr. Li is shaping the future of assistive and remote robotic systems.
Research Focus
Key Achievements
Top Papers
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