Papers
2
Total Citations
11
H-Index
2
About
Lihong Yang is a leading researcher in the field of robotic control and human–robot interaction, with a focus on compliant and adaptive systems for rehabilitation and assistive technologies. Their key research areas include admittance control, impedance selection, and adaptive robust control strategies for robots operating in dynamic environments. Yang’s major contributions include the development of an adaptive robust admittance control framework that leverages the duality principle to optimize impedance selection, significantly improving robot–environment interaction performance. This work, published in 2022, has already garnered 8 citations, underscoring its impact on the field. Additionally, Yang has advanced compliant human–robot interaction through the design of a shoulder rehabilitation exoskeleton featuring a CGH self-alignment function, detailed in a 2024 study that has earned 3 citations. This innovation enhances safety and comfort in rehabilitation settings. Yang’s research is notable for bridging theoretical control methods with practical applications, offering robust solutions for real-world robotic systems. Their work is highly relevant for students and researchers exploring adaptive control, rehabilitation robotics, and human–robot collaboration, providing foundational insights into achieving stable and responsive interactions.
Research Focus
Key Achievements
Top Papers
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