Papers
35
Total Citations
436
H-Index
10
About
Baofeng Gao is a biomedical and robotics engineer whose research spans human-machine interfaces, medical robotics, and rehabilitation engineering. His work addresses some of the most pressing challenges at the intersection of technology and healthcare, with a particular focus on making robotic systems more intuitive, precise, and therapeutically effective. Gao's most impactful contribution lies in surface electromyography (sEMG) signal processing, where his 2015 comparative study of feature extraction and motion classification methods for upper-limb movement has garnered 76 citations, establishing a foundational reference for prosthetics and robotic arm control. Complementing this, his work on exoskeleton rehabilitation systems — including a 3-DOF upper limb device and series/variable stiffness actuator designs — addresses critical needs in post-stroke recovery and motor relearning. A parallel thread of Gao's research focuses on minimally invasive surgical robotics, including robotic catheter navigation systems, clamping force evaluation, and virtual reality simulators for surgical training, reflecting a commitment to improving both patient safety and clinician preparedness. His early exploration of soft biomimetic microrobots for underwater biomedical applications, cited 58 times, demonstrates impressive breadth. Across more than a decade of published research, Gao has built a cohesive body of work that bridges intelligent sensing, mechanical design, and clinical application.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Novel Soft Biomimetic Microrobot with Two Motion Attitudes58 citations · 2012
- 3
- 4Clamping Force Evaluation For A Robotic Catheter Navigation System31 citations · 2014
- 5
- 6
- 7
- 8
- 9
- 10Internet based remote control for a robotic catheter manipulating system10 citations · 2012