Papers
15
Total Citations
974
H-Index
13
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
Top Papers
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- 3Kinematic multi-robot manipulation with no communication using force feedback115 citations · 2016
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- 5Game Theoretic Motion Planning for Multi-robot Racing62 citations · 2019
- 6Multi-robot Manipulation Without Communication58 citations · 2016
- 7Multirobot Object Transport via Robust Caging57 citations · 2017
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