Papers
19
Total Citations
322
H-Index
9
About
Xiaofeng Xiong is a robotics researcher whose work sits at the dynamic intersection of biological systems and autonomous robot control, with particular expertise in legged locomotion, neuromechanical control, and biomimetic motor systems. His most celebrated contribution, the 2021 review "Insect-Inspired Robots: Bridging Biological and Artificial Systems" (81 citations), synthesizes foundational questions in hexapod robotics, exploring how biomechanics, morphology, and neural computation can be harnessed to produce truly autonomous, energy-efficient machines. This theme runs throughout his career: his 2015 paper on neuromechanical control for adaptive hexapod walking (54 citations) demonstrated how biological principles of sensorimotor learning can coordinate complex multi-jointed systems in real time. Xiong has also advanced compliant joint control through his virtual agonist-antagonist mechanism framework, enabling robots to replicate the versatile muscle-like functions observed in living creatures. His development of Lilibot, an open-source reconfigurable quadruped platform, reflects a commitment to accessible, reproducible research in self-organized locomotion. Across wall-climbing robots, dung-beetle-inspired gaits, and human-like motor adaptation, Xiong's body of work—accumulating over 270 citations—consistently bridges the gap between biological inspiration and practical autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1Insect-Inspired Robots: Bridging Biological and Artificial Systems81 citations · 2021
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- 6Adaptive Motor Control for Human-like Spatial-temporal Adaptation19 citations · 2018
- 7Compliant Detachment of Wall-Climbing Robot Unaffected by Adhesion State18 citations · 2021
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