About

Yunwang Li is a leading researcher in mobile robotics, with a primary focus on omnidirectional locomotion, rescue robotics, and multi-robot coordination. His most significant contributions center on the topological design and kinematic modeling of Mecanum-wheeled configurations, where he proposed a simple yet efficient bottom-roller axle intersections approach for judging omnidirectional mobility—a method that has become foundational in the field, earning over 63 citations. Li also developed a kinematic model with velocity compensation for combined systems of multiple Mecanum-wheeled robots, enabling precise transport of large-scale objects in industrial settings. His work extends to navigation simulation, where he improved the A* algorithm for real-time, 3D visualization in Unity3D, and to sensor calibration, creating a novel LiDAR-IMU calibration method using cone-cylinder features. In rescue robotics, Li designed rocker-type track suspension configurations for coal mine rescue robots, analyzing obstacle-surmounting mechanisms and step-climbing performance. With over 280 total citations across his ten most-cited papers, Li’s research bridges theoretical innovation and practical application, advancing both industrial automation and emergency response robotics.

Research Focus

Key Achievements

7
H-Index
13
Papers
293
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Topological Design Methods for Mecanum Wheel Configurations of an Omnidirectional Mobile Robot
63 citations · 2019
📈 Most Prolific Year: 2019 (6 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Stevens Institute of Technology, China University of Mining and Technology, Xuzhou University of Technology, Beijing Forestry University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago