Papers
4
Total Citations
50
H-Index
4
About
Chengyu Lin is a pioneering researcher in assistive robotics and human-robot interaction, specializing in developing intuitive, hands-free control systems for individuals with severe motor impairments. His work centers on creating hybrid interfaces that combine eye gaze, electroencephalogram (EEG) signals, and facial electromyography (fEMG) to empower users with disabilities—including those with two-arm disabilities and high-level spinal cord injuries—to perform daily tasks like 6D robotic grasping. Lin’s major contributions include a mixed-reality head-based interface for grasping densely placed objects (2023, 17 citations) and a gaze-signal control method for Supernumerary Robotic Limbs (2020, 16 citations), which expand human physical capabilities. He has also advanced natural grasp intention estimation by decoding neural correlations between EEG and eye movements (2023, 13 citations), and developed a hybrid gaze-fEMG system for high-level spinal cord injury patients (2024). With a growing citation impact, Lin’s work bridges neuroscience, wearable robotics, and human-computer interaction, offering transformative solutions that enhance independence and quality of life for people with disabilities.
Research Focus
Key Achievements
Top Papers
- 1An Effective Head-Based HRI for 6D Robotic Grasping Using Mixed Reality17 citations · 2023
- 2A Gaze Signal Based Control Method for Supernumerary Robotic Limbs16 citations · 2020
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