Guangrong Chen
Papers
18
Total Citations
271
H-Index
9
About
Guangrong Chen is a leading researcher in bio-inspired robotics, specializing in quadruped locomotion, bionic ankle design, and robot-environment perception. His most impactful work introduces virtual model control (VMC) for dynamic balance and trajectory tracking in quadruped robots, a framework that uses virtual components to generate real joint forces—a foundational contribution cited over 50 times. Chen also developed a multiaxial bionic ankle based on series elastic actuation with a parallel spring (SEAPS), mimicking the human ankle’s two degrees of freedom to enhance adaptive locomotion and land buffering on complex terrain. His stability-guaranteed static gait algorithm, with 38 citations, ensures high terrain adaptability without compromising balance. Further, Chen’s integration of LiDAR and vision sensors for quadruped environment perception has garnered 25 citations, advancing autonomous navigation in unstructured environments. His fractional order impedance control and work on foldable, reconfigurable multi-terrain vehicles demonstrate versatility across manipulators and wheel-legged robots. With over 240 total citations across ten key papers, Chen’s research bridges theoretical control and practical robotics, offering robust solutions for rescue, detection, and traversal of challenging terrains.
Research Focus
Key Achievements
Top Papers
- 1Virtual Model Control for Quadruped Robots52 citations · 2020
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- 5Fractional Order Impedance Control20 citations · 2020
- 6Design and simulation analysis of a bionic ostrich robot16 citations · 2022
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