Qiang Gao
Papers
10
Total Citations
265
H-Index
6
About
Qiang Gao is a multidisciplinary robotics researcher whose work spans brain-computer interfaces (BCIs), medical robotics, and intelligent automation systems. Best known for his pioneering contributions to BCI-driven robot control, Gao developed a novel hybrid BCI system combining motor imagery, teeth-clenching detection, and steady-state visual evoked potentials (SSVEP) to enable noninvasive, EEG-based control of robotic arms for writing tasks — a paper that has garnered 97 citations and remains his most influential work. He extended this expertise to quadcopter control and home service robots, demonstrating the real-world applicability of BCI technologies for individuals with neuromuscular disorders. Gao has also made significant strides in medical robotics, particularly in vascular interventional surgery, designing master-slave robotic catheter systems with haptic feedback and multidimensional force sensing — work that collectively reflects both engineering ingenuity and patient safety awareness. Beyond these domains, his research touches on agricultural robotics, including computer vision-based cucumber detection, and automated infrastructure inspection. With over 260 cumulative citations, Gao's work exemplifies a productive integration of neural engineering, surgical robotics, and applied computer vision, making him a valuable figure for researchers exploring human-robot interaction and intelligent medical systems.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Quadcopter Robot Control Based on Hybrid Brain–Computer Interface System39 citations · 2020
- 4Cucumber Detection Based on Texture and Color in Greenhouse26 citations · 2017
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- 8Business Card Recognition and E-mail Delivery Based on NAO Robot4 citations · 2018
- 9
- 10Implementation of an SSVEP-based intelligent home service robot system4 citations · 2020