Yuhan Cheng
Papers
2
Total Citations
8
H-Index
2
About
Yuhan Cheng is a pioneering researcher in multi-robot systems, with a focus on cooperative localization and autonomous coordination in dynamic, high-stakes environments. Her work bridges the gap between theoretical robotics and real-world deployment, particularly in the domains of sensor fusion and collaborative scheduling. In her highly cited 2016 paper, "Fusing sound and dead reckoning for multi-robot cooperative localization," Cheng introduced a novel distributed method that combines auditory cues with dead reckoning to correct cumulative positioning errors—a critical advancement for teams of robots operating in GPS-denied or noisy settings. This foundational contribution has garnered 6 citations and laid the groundwork for robust multi-agent navigation. More recently, her 2024 work, "FireHunter: Toward Proactive and Adaptive Wildfire Suppression via Multi-UAV Collaborative Scheduling," tackles the urgent challenge of coordinating unmanned aerial vehicles for simultaneous fire monitoring and suppression in unpredictable, cold-start scenarios. With 2 citations already, this proactive, adaptive scheduling framework demonstrates Cheng’s commitment to translating robotics research into life-saving applications. Her achievements highlight a career dedicated to making multi-robot teams smarter, more resilient, and ready for the field.
Research Focus
Key Achievements
Top Papers
- 1Fusing sound and dead reckoning for multi-robot cooperative localization6 citations · 2016
- 2