Matthew Stewart

Harvard University Press, University of Alberta

Papers

Total Citations

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About

Matthew Stewart is a leading researcher at the intersection of robotics, high-performance computing, and benchmarking. His primary contributions lie in developing standardized, vendor-agnostic tools to evaluate the computing performance of robotic systems. Stewart’s most notable work, the **RobotPerf** benchmarking suite (2024), has already garnered 16 citations, establishing itself as a critical resource for the robotics community. This open-source framework uses ROS 2 as a common baseline to assess hardware performance across the entire robotics pipeline, from perception to control. By enabling fair, reproducible comparisons across diverse platforms, RobotPerf helps researchers and engineers make informed decisions about computing hardware for autonomous systems. Earlier in his career, Stewart contributed to analytical chemistry, co-authoring a methodology for automated sample preparation in inductively coupled plasma atomic emission spectrometry (1990). This dual expertise—spanning both classical analytical instrumentation and modern robotics—demonstrates his versatility. Today, Stewart’s benchmarking work is shaping how the robotics community evaluates and optimizes computing systems, driving progress toward more efficient and capable autonomous machines.