Papers
15
Total Citations
140
H-Index
7
About
Ou Bai is a pioneering researcher at the intersection of brain-computer interfaces (BCI), assistive robotics, and intelligent prosthetics. His work centers on developing intuitive, non-invasive systems that translate neural signals into direct control of robotic devices, with profound implications for rehabilitation and human augmentation. Bai’s major contributions include the creation of a wireless, smart EEG system for volitional control of lower-limb prostheses (22 citations), enabling amputees to control devices directly from thought without physical manipulation. He also advanced instinctive brain-control of quadruped robots (20 citations) and developed binary EEG paradigms for two-dimensional cursor movement (14 citations), simplifying BCI protocols for real-world use. In soft robotics, Bai introduced a lightweight flexible valve based on giant electrorheological fluids (20 citations), seamlessly integrating into soft robots. His research extends to robotic exoskeletons for nuclear facility workers, addressing repetitive stress injuries through fixed-time constrained acceleration reconstruction and continuous finite-time torque control. With over 120 citations across his top works, Bai’s interdisciplinary approach—merging neuroscience, control theory, and robotics—has set benchmarks for practical, user-friendly BCI systems. His achievements include DOE-sponsored projects and innovations that promise to restore motor function and enhance human-robot collaboration in demanding environments.
Research Focus
Key Achievements
Top Papers
- 1A wireless, smart EEG system for volitional control of lower-limb prosthesis22 citations · 2015
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- 5Binary EEG Control for Two-Dimensional Cursor Movement: An Online Approach14 citations · 2007
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- 8Hotcell Worker Assistive Robotic Exoskeleton Design and Control6 citations · 2019
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