Yunji Li
Papers
2
Total Citations
9
H-Index
2
About
Yunji Li is a robotics researcher whose work bridges biomechanics and control theory, with a focus on quadruped locomotion and multi-agent robotic systems. In their highly cited 2021 review, Li systematically analyzed how flexible spine dynamics govern quadruped performance, demonstrating that spinal motion critically influences explosive power, energy efficiency, stability, and terrain adaptability during running. This foundational work has garnered 7 citations and established Li as a key voice in bio-inspired robotics. More recently, Li developed a novel fault-tolerant control framework for multiple robotic manipulators, addressing the challenge of maintaining consensus under switching communication topologies. By employing a Markov distributed sequence with known probability transition matrices, their 2022 paper introduced an event-triggered approach that ensures leader-following coordination even when network structures change unpredictably. This work has practical implications for manufacturing and hazardous environment operations where robotic teams must remain resilient to communication failures. Li’s research uniquely combines passive dynamics modeling with robust control design, offering both theoretical advances and practical solutions for next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2