Yiqiong Zhou

Papers

Total Citations

H-Index

About

Yiqiong Zhou is a researcher in robotics and multi-agent systems, with a primary focus on map merging and collaborative perception in multi-robot environments. Her most-cited work, "Simultaneously merging multi-robot grid maps at different resolutions" (2019), addresses a critical challenge in autonomous navigation: how to integrate spatial information from multiple robots operating at varying mapping scales. This contribution is foundational for scalable and robust multi-robot coordination, enabling teams of robots to build consistent global maps without requiring identical sensor configurations or resolutions. With 13 citations, the paper has influenced subsequent research in distributed mapping and sensor fusion. Zhou’s work is notable for its practical approach to real-world deployment, where robots often have heterogeneous hardware. Her research bridges the gap between theoretical multi-robot systems and applied robotics, offering solutions that improve efficiency in search-and-rescue, environmental monitoring, and autonomous exploration. By tackling the problem of resolution disparity, Zhou has helped advance the reliability of collaborative mapping, making her a key contributor to the field of multi-robot perception.