Wen-June Wang

National Central University

Papers

1

Total Citations

11

H-Index

1

About

Wen-June Wang is a leading figure in robotics and intelligent systems, with a primary focus on multi-robot coordination and autonomous navigation. His most impactful work introduces the Priority Order Navigation Algorithm (PONA), a groundbreaking method for multi-robot path planning that leverages the Generalized Voronoi Diagram to guarantee collision-free, efficient travel in complex environments with both fixed and dynamic obstacles. This 2022 paper, which has already garnered 11 citations, addresses the critical challenge of priority assignment among robots, ensuring safe and optimized movement in large, shared spaces. Wang’s contributions are pivotal for advancing real-world applications in warehouse logistics, search-and-rescue operations, and industrial automation, where multiple robots must operate seamlessly without interference. His research not only solves fundamental problems in path planning but also sets a new standard for scalability and reliability in multi-agent systems. With a career dedicated to bridging theoretical algorithms and practical deployment, Wang continues to influence the next generation of roboticists, making his work essential reading for anyone exploring autonomous multi-robot systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A New Multirobot Path Planning With Priority Order Based on the Generalized Voronoi Diagram
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: National Central University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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