Max Robotics — Global Service Robot Directory + US Certification

About

Thomas A. Wettergren is a leading researcher in autonomous systems, with a primary focus on optimal control, path planning, and sensor fusion for unmanned vehicles operating in uncertain and dynamic environments. His work bridges the gap between theoretical control theory and practical robotic applications, particularly for military and surveillance contexts. Wettergren’s most impactful contribution is the formulation of the "Traveling Salesman Problem with Job-times" (TSPJ), a novel optimization framework that integrates task scheduling with route planning, which has garnered 28 citations since 2021. He has also made significant advances in target detection, developing a feature-level sensor fusion method that balances high detection probabilities with low false alarm rates under computational constraints—a critical challenge for real-time systems. His language-measure-theoretic approach to robot path planning provides a rigorous method for handling environmental uncertainties, while his work on service agent–transport agent coordination incorporates robust scheduling to improve multi-agent mission efficiency. With a career spanning over a decade, Wettergren’s research continues to shape the development of resilient, intelligent autonomous systems capable of operating in complex, unpredictable settings.