Papers
233
Total Citations
3,768
H-Index
30
About
Yibin Li is a prolific robotics researcher whose work spans modular robotics, legged locomotion, structural design, and intelligent control systems. With a career tracing back to foundational reviews on bionic quadruped robots in 2011, Li has consistently shaped the trajectory of biomimetic and reconfigurable robotic systems. His early contributions established critical frameworks for understanding mammal-inspired locomotion and hydraulically actuated quadruped platforms, work that continues to influence hardware design across the field. Li's research on tensegrity-based robots and exoskeleton optimization — the latter employing biomechanical simulation for human-centered design — demonstrates a breadth that bridges structural innovation with applied human-robot interaction. More recently, his group has pushed into intelligent autonomy, contributing highly cited work on multi-robot exploration using hierarchical graph neural networks, deep reinforcement learning for 3D bin packing, and autonomous live-line working robots. His 2023 paper on Pareto optimal reconfiguration planning for modular robots has already garnered 235 citations, underscoring its immediate impact. Collectively accumulating nearly 1,000 citations across diverse subfields, Li represents a uniquely versatile voice in modern robotics research, connecting mechanical design, control theory, and machine learning into cohesive, real-world systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A review on tensegrity structures-based robots158 citations · 2021
- 3Design and simulation for a hydraulic actuated quadruped robot137 citations · 2012
- 4Research of mammal bionic quadruped robots: A review95 citations · 2011
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- 8Heuristics Integrated Deep Reinforcement Learning for Online 3D Bin Packing63 citations · 2023
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