Gregory Spencer

Papers

Total Citations

H-Index

About

Gregory Spencer is a researcher focused on autonomous systems and sensor-based navigation, with a particular emphasis on collision prediction and avoidance in multi-agent environments. His most-cited work, "Collision Prediction from UWB Range Measurements" (2020), addresses a critical challenge in safe autonomous movement—using ultra-wideband (UWB) range data to anticipate and react to impending collisions among mobile agents, whether human or robotic. This contribution is foundational for applications in robotics, drone swarms, and autonomous vehicles, where reliable proximity sensing is essential. While his citation count is currently modest, Spencer’s research tackles a fundamental problem in real-time spatial awareness, bridging the gap between raw sensor measurements and actionable safety predictions. His work is particularly relevant for students and researchers exploring decentralized collision avoidance, sensor fusion, and the integration of UWB technology into autonomous navigation systems.