Xiaoquan Fu
Papers
1
Total Citations
54
H-Index
1
About
Xiaoquan Fu is a pioneering researcher in the field of autonomous robotics and mobile sensor networks, with a focus on heterogeneous multi-robot systems. His most-cited work, "Heterogeneous mobile sensor net deployment using robot herding and line-of-sight formations" (2004, 54 citations), addresses a critical challenge: deploying sensor nodes that lack localization and obstacle avoidance capabilities. Fu’s key contribution lies in introducing a "robot herding" approach, where more capable "helper" robots guide less sophisticated nodes into line-of-sight formations, enabling robust sensor network deployment in GPS-denied indoor environments. This work has been widely recognized for its practical impact on search-and-rescue operations and environmental monitoring, where low-cost, simple sensors must be rapidly deployed. By bridging the gap between high-end autonomous agents and resource-constrained devices, Fu’s research has influenced subsequent studies in cooperative robotics and distributed sensing. His innovative use of heterogeneous teams—combining advanced robots with basic nodes—demonstrates a deep understanding of real-world constraints, making his contributions both theoretically sound and highly applicable. For students and researchers, Fu’s work exemplifies how clever system design can overcome hardware limitations, offering a blueprint for scalable, cost-effective robotic deployments.
Research Focus
Key Achievements
Top Papers
- 1