Tom Moore

Charles River Analytics (United States), Lockheed Martin (United States)

Papers

Total Citations

523

H-Index

About

Tom Moore is a robotics researcher whose work has significantly shaped the field of autonomous mobile robotics, particularly through his contributions to the Robot Operating System (ROS) ecosystem. He is best known for his 2015 paper introducing a generalized extended Kalman filter implementation for ROS, which has become a foundational resource in the robotics community, accumulating over 400 citations and serving as a go-to reference for state estimation in mobile robots. This work provided developers and researchers with a flexible, accessible framework for sensor fusion — a critical capability for any autonomous system navigating the real world. Moore's influence extends into the modern era of robotics software development, as evidenced by his co-authorship of a 2023 survey examining capable mobile robotics algorithms within ROS 2, reflecting his ongoing role in shaping open-source robotics infrastructure. His broader research interests also touch on miniaturized autonomous systems, including work on a remarkable 5-gram crawling millirobot capable of navigating complex, confined environments. With a career spanning several decades and contributions ranging from early nuclear robotics to cutting-edge software frameworks, Moore represents a thoughtful, enduring voice in the evolution of intelligent robotic systems.