Glenn Murray
Papers
1
Total Citations
4
H-Index
1
About
Glenn Murray is a robotics researcher whose work focuses on advancing autonomous navigation in challenging, time-critical environments. His primary research areas include multi-sensor fusion, ultra-wideband (UWB) ranging, and state estimation for ground robots. Murray’s major contribution lies in demonstrating that UWB ranging nodes can be used to improve navigation accuracy even when their locations are unknown—a significant departure from conventional methods that require pre-surveyed node positions. This breakthrough, detailed in his 2022 paper “Ranging-Aided Ground Robot Navigation Using UWB Nodes at Unknown Locations” (4 citations), is especially valuable for search-and-rescue or disaster response scenarios where deploying infrastructure is impractical. By enabling robots to leverage ad-hoc UWB networks alongside onboard sensors like odometry and IMUs, Murray’s work enhances localization robustness in GPS-denied settings. His research has practical implications for field robotics, and his innovative approach to relaxing node-location constraints has been noted for its potential to streamline deployment in time-pressed operations. Murray’s contributions are helping to make autonomous navigation more adaptable and resilient in real-world, unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1