Shihong Duan
Papers
6
Total Citations
40
H-Index
3
About
Shihong Duan is a leading researcher in swarm robotics and autonomous navigation, with a focus on enabling robust communication and localization in GPS-denied environments. His most influential work, "Ultra-Wideband Radio Channel Characteristics for Near-Ground Swarm Robots Communication" (2020, 20 citations), introduces an efficient two-segment channel model that addresses multipath conditions critical for near-ground robot cooperation. Duan has made significant contributions to multi-agent localization, notably through his reinforcement learning-compensated filter (2024, 10 citations), which enhances accuracy in complex rescue scenarios. His research spans from fundamental theoretical bounds—such as the Cramér-Rao lower bound for time-of-arrival-based swarm localization (2015)—to cutting-edge applications like blockchain-secured data storage for swarm collaboration (2025). Duan also advances vision-based navigation with sim-to-real domain adaptation techniques, bridging the gap between simulation and real-world deployment. With a growing citation record and work that integrates reinforcement learning, UWB technology, and security, Duan is shaping the future of resilient, intelligent swarm systems for critical missions.
Research Focus
Key Achievements
Top Papers
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- 4CRLB for TOA Based Near-Ground Swarm Robotic Localization3 citations · 2015
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