Papers

6

Total Citations

91

H-Index

6

About

Yongdong Li is a leading researcher in swarm robotics, self-assembly systems, and the formal verification of robotic algorithms. His work bridges theoretical rigor and practical implementation, with a particular focus on the kinematics and control of modular and bionic robots. Li’s most influential contribution is the development of a centroidal Voronoi tessellation-based intelligent control algorithm for the self-assembly path planning of swarm robots (32 citations), which provides a scalable and efficient method for coordinating multiple autonomous modules. He has also made significant advances in the formal analysis of robotic manipulators, including a formal kinematic analysis of a general 6R manipulator using screw theory (17 citations) and a higher-order logic formalization of conformal geometric algebra applied to verifying robotic manipulation algorithms (16 citations). These works enhance the reliability and safety of human–robot interactions. Li’s research extends to practical implementations, such as the dynamics-based two-stage path model for docking navigation in self-assembly modular robots (10 citations) and the kinematics of a modular caterpillar robot for trapezoidal wave locomotion (8 citations). His contributions are essential for the development of dependable, autonomous robotic systems.

Research Focus

Key Achievements

6
H-Index
6
Papers
91
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A centroidal Voronoi tessellation based intelligent control algorithm for the self-assembly path planning of swarm robots
32 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Capital Normal University, Air Force Engineering University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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