Papers
19
Total Citations
411
H-Index
11
About
Baojun Chen is a leading researcher in assistive and surgical robotics, whose work focuses on restoring and augmenting human motor function. His primary research areas include myoelectric control for lower-limb prostheses, adaptive control for wearable exoskeletons, and human-robot interfaces for surgical systems. Chen made a seminal contribution to the field by developing volitional EMG control for robotic transtibial prostheses, enabling amputees to intuitively adapt to slope walking—a breakthrough that has garnered over 71 citations. He further advanced the state of the art by integrating vibrotactile feedback to close the human-control loop, enhancing proprioception for prosthetic users. In the domain of occupational exoskeletons, Chen pioneered adaptive synchronization methods for lifting tasks and demonstrated that a low-back exoskeleton can significantly reduce erector spinae muscle activity, with his work on lifting technique classification cited 34 times. Notably, his research extends to surgical robotics, where he developed a novel master-slave intraocular robot with force feedback for microsurgery. With multiple highly cited papers on locomotion mode recognition and wearable interfaces, Chen’s interdisciplinary work has profoundly impacted rehabilitation engineering and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 7A novel master–slave intraocular surgical robot with force feedback19 citations · 2021
- 8A Wearable Hands-Free Human-Robot Interface for Robotized Flexible Endoscope17 citations · 2022
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