Papers
2
Total Citations
12
H-Index
2
About
Zeyu Zhou is a researcher advancing the frontier of multi-robot systems, with a focus on cooperative autonomy in complex, unknown environments. His work addresses critical challenges in large-scale robotic coordination, particularly in intelligent reconnaissance, transportation, and combat scenarios. Zhou’s most influential contribution, “A novel cooperative path planning method based on UCR-FCE and behavior regulation for large-scale multi-robot system” (2023, 8 citations), introduces an innovative framework that integrates fuzzy comprehensive evaluation with behavior regulation to enable efficient, conflict-free navigation for swarms of robots. Complementing this, his earlier work on “Multi-robot Real-time Cooperative Localization Based on High-speed Feature Detection and Two-stage Filtering” (2021, 4 citations) tackles the fundamental problem of achieving high-precision positioning during large maneuvers in unknown settings. By combining rapid feature detection with a two-stage filtering approach, Zhou enables robots to maintain accurate localization without relying on pre-mapped environments. His research is notable for bridging theoretical algorithms with practical deployment, offering scalable solutions that enhance robustness and real-time performance. With a growing citation footprint, Zhou is establishing himself as a key contributor to the next generation of autonomous, cooperative robotic systems.
Research Focus
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Top Papers
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