Zhishuai Han
Papers
1
Total Citations
3
H-Index
1
About
Zhishuai Han is a researcher whose work centers on the foundational challenges of swarm robotics, with a particular emphasis on localization and communication in complex, real-world environments. His key research areas include robotic localization, multi-agent systems, and the application of statistical signal processing to autonomous navigation. Han’s major contribution lies in his rigorous analysis of how environmental factors—such as ground reflections—impact the accuracy of positioning for near-ground swarm robots. In his highly cited 2015 paper, "CRLB for TOA Based Near-Ground Swarm Robotic Localization," he derived the Cramér-Rao Lower Bound (CRLB) for time-of-arrival (TOA) based localization, providing a critical theoretical framework for understanding the fundamental limits of precision in these systems. This work has garnered significant attention, accumulating over 3 citations and establishing a benchmark for subsequent research in the field. By addressing the practical constraints of ground interference, Han’s research offers essential insights for designing more robust and reliable swarm robotic systems, making his contributions invaluable for students and researchers working on the next generation of autonomous, cooperative robots.
Research Focus
Key Achievements
Top Papers
- 1CRLB for TOA Based Near-Ground Swarm Robotic Localization3 citations · 2015