Papers

5

Total Citations

119

H-Index

4

About

Tingrui Zhang is a pioneering researcher in autonomous robotics, specializing in trajectory planning and collision-free motion for multi-robot systems. His work centers on enabling swarms of aerial and car-like robots to navigate dense, cluttered environments with unprecedented efficiency and safety. Zhang’s major contributions include developing robust formation flight systems that integrate real-time path finding with environmental topology, allowing large-scale swarms to operate fully autonomously in complex spaces. His 2023 paper on formation flight, with 59 citations, demonstrates a breakthrough in bridging the gap between theoretical potential and practical deployment. Zhang also advanced whole-body planning through continuous implicit Signed Distance Field (SDF) optimization, enabling arbitrary-shaped robots to generate smooth, collision-free trajectories without oversimplifying geometry. His 2024 work on implicit swept volume SDFs further tackles continuous collision avoidance for non-convex shapes, a persistent challenge in the field. With additional papers on decentralized planning for car-like swarms, Zhang’s research has garnered growing attention, reflecting its impact on real-world applications like search-and-rescue and industrial automation. His achievements position him as a leader in scalable, safe autonomous navigation.

Research Focus

Key Achievements

4
H-Index
5
Papers
119
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Robust and Efficient Trajectory Planning for Formation Flight in Dense Environments
59 citations · 2023
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Huzhou University, Zhejiang University, State Key Laboratory of Industrial Control Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago