About

Zijian Wang is a leading researcher in multi-robot systems, specializing in distributed coordination, collision avoidance, and cooperative manipulation without communication. His most influential work, "Fast, On-line Collision Avoidance for Dynamic Vehicles Using Buffered Voronoi Cells" (279 citations), introduced a provably safe, decentralized algorithm for multi-robot navigation in arbitrary dimensions, enabling real-time collision avoidance for dynamic vehicles. Wang's pioneering contributions to communication-free multi-robot manipulation are equally notable: his "Force-Amplifying N-robot Transport System (Force-ANTS)" (86 citations) and "Kinematic multi-robot manipulation with no communication using force feedback" (115 citations) demonstrated how robots can coordinate to transport heavy objects using only force feedback, eliminating the need for explicit communication. He also advanced multi-robot pursuit-evasion with "Intercepting Rogue Robots" (137 citations), a distributed algorithm for capturing multiple evaders—critical for drone security applications. Wang extended these concepts to aerial systems with "Cooperative Object Transport in 3D with Multiple Quadrotors Using No Peer Communication" (35 citations) and to competitive scenarios with game-theoretic planners for drone racing. His work, totaling over 800 citations, has fundamentally shaped the fields of distributed robotics, multi-agent coordination, and autonomous navigation.

Research Focus

Key Achievements

13
H-Index
15
Papers
974
Total Citations
65
Avg Citations/Paper
🏆 Most Cited Paper
Fast, On-line Collision Avoidance for Dynamic Vehicles Using Buffered Voronoi Cells
279 citations · 2017
📈 Most Prolific Year: 2016 (4 Papers)
🤝 Key Collaborators: 30
🏛 Institutions: Stanford University, Boston University, Vaughn College of Aeronautics and Technology, Xinjiang Institute of Engineering, Shandong Jianzhu University, American Institute of Aeronautics and Astronautics

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago