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
Top Papers
- 1
- 2Continuous Implicit SDF Based Any-Shape Robot Trajectory Optimization20 citations · 2023
- 3
- 4Decentralized Planning for Car-Like Robotic Swarm in Cluttered Environments19 citations · 2023
- 5