Papers
1
Total Citations
13
H-Index
1
About
Yuming Bo is a leading researcher in multi-agent autonomous systems, with a focus on cooperative localization and navigation in GNSS-challenged environments. Their most-cited work, "An Aerial and Ground Multi-Agent Cooperative Location Framework in GNSS-Challenged Environments" (2022, 13 citations), introduces a novel collaborative SLAM framework that enables unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs) to jointly localize and map using image feature point matching—without relying on global navigation satellite systems. This contribution addresses a critical bottleneck in real-world deployments of drone and robot teams, particularly in urban canyons, forests, or contested zones where GPS is unavailable or unreliable. Bo’s research bridges aerial and ground robotics, advancing the robustness and autonomy of multi-agent systems for search-and-rescue, surveillance, and infrastructure inspection. By integrating visual SLAM with cooperative strategies, their work has laid a foundation for resilient, GNSS-free coordination in complex environments. Bo’s achievements are recognized through growing citations and their role in shaping next-generation autonomous systems that operate reliably where traditional navigation fails.
Research Focus
Key Achievements
Top Papers
- 1