Papers
6
Total Citations
36
H-Index
3
About
Zichao Xing is a robotics researcher whose work centers on multi-robot systems (MRS), motion coordination, and autonomous navigation in industrial environments. With a growing body of publications spanning 2021 to 2023, Xing has established a distinctive research identity around the innovative concept of "glued nodes" — a novel framework for managing collision and deadlock avoidance in complex robotic deployments. His most-cited work, "Collision and Deadlock Avoidance in Multi-Robot Systems Based on Glued Nodes" (2022, 15 citations), introduced this approach, which he subsequently extended to handle heterogeneous and variable-sized robots in dynamic warehouse and manufacturing settings (2023, 9 citations). Beyond navigation safety, Xing has made meaningful contributions to battery charge dispatching strategies for sustained robot autonomy, AGV scheduling for no-buffer assembly lines, and the challenging coupled task allocation and scheduling problem in multi-type robot fleets. His research directly addresses real-world industrial pain points — efficiency, adaptability, and operational continuity — making his findings practically relevant for smart manufacturing and logistics automation. With over 36 cumulative citations across six papers, Xing represents an emerging voice in intelligent multi-robot coordination research.
Research Focus
Key Achievements
Top Papers
- 1Collision and Deadlock Avoidance in Multi-Robot Systems Based on Glued Nodes15 citations · 2022
- 2
- 3Battery Charge Dispatching in Multi-robot Systems4 citations · 2021
- 4
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- 6Research on Coupled Task Allocation and Scheduling of Multi-type Robots2 citations · 2021