Matthew McNaughton

Carnegie Mellon University, University of Alberta

Papers

Total Citations

H-Index

About

Matthew McNaughton is a robotics researcher whose work has centered on the software infrastructure and perception systems that enable autonomous ground vehicles and multi-robot coordination. His most impactful contribution is his role in the DARPA Urban Challenge, where he co-authored the seminal paper on the software infrastructure for Tartan Racing’s Boss vehicle. This vehicle won the competition by autonomously navigating 60 miles of suburban roads while interacting with human drivers and other robots—a landmark achievement in autonomous driving. His paper on this infrastructure has garnered 16 citations, reflecting its foundational importance. McNaughton also advanced real-time computer vision for robotics, developing fast lookup table-based color vision systems for RoboCup that enabled tracking of up to 11 objects at video frame rates. Additionally, he created "Broker," an interprocess communication solution tailored for multi-robot systems, facilitating efficient data exchange between processes. With a total of 27 citations across his most-cited works, McNaughton’s contributions to autonomous navigation, real-time perception, and robot communication have provided critical building blocks for modern field robotics.