Zhifeng Huang
Papers
22
Total Citations
256
H-Index
9
About
Zhifeng Huang is a pioneering robotics researcher whose work spans robotic compliant manipulation, flying bipedal locomotion, and human-robot interaction for healthcare training. His most impactful contribution is a unified parametric representation for encoding and learning robotic compliant skills, enabling adaptive impedance and force control—a framework that has garnered 45 citations since 2021. Huang also leads the development of the Jet-HR series of flying bipedal robots, including Jet-HR1 and Jet-HR2, which use ducted-fan propulsion and thrust vector control to overcome large obstacles and achieve short-distance flight, with papers accumulating 23 and 15 citations respectively. In healthcare robotics, he designed robot patients for nursing skill training in patient transfer, simulating realistic patient behaviors to improve training effectiveness—a line of work that has earned over 80 combined citations. His research on static balancing of robotic bicycles further showcases his versatility in nonlinear modeling and control. With a portfolio of highly cited papers addressing critical challenges in robotics, Huang’s work is advancing both autonomous systems and practical training tools, making him a notable figure in modern robotics research.
Research Focus
Key Achievements
Top Papers
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- 3Jet-HR2: A Flying Bipedal Robot Based on Thrust Vector Control23 citations · 2022
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- 5Robot Patient Design to Simulate Various Patients for Transfer Training16 citations · 2017
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- 7Static Balancing of Robotic Bicycle through Nonlinear Modeling and Control14 citations · 2018
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