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About

Scott D. Stoller is a computer scientist whose research sits at the intersection of autonomous systems, runtime verification, and cyber-physical system (CPS) safety. His work addresses one of the most pressing challenges in modern robotics and autonomous systems: ensuring safe, reliable behavior in dynamic, uncertain environments. Stoller has made significant contributions to collision avoidance for mobile robots, particularly in scenarios where sensing capabilities and environmental information are limited — work that has attracted over 30 citations since 2015 and remains foundational in the field. A central thread of his research involves the **Simplex Architecture**, a runtime assurance framework that enables safe CPS by allowing systems to switch control authority from potentially unsafe advanced controllers to verified baseline controllers. His 2022 paper on the Black-Box Simplex Architecture extended this paradigm to autonomous CPS more broadly, while subsequent work expanded it to multi-agent settings. More recently, Stoller introduced Spatial Predictive Control (SPC), a novel technique enabling distributed drone flocking with black-box positional controllers. Across his portfolio, Stoller demonstrates a consistent commitment to bridging theoretical safety guarantees with practical autonomous system design, making his work highly relevant to researchers working on trustworthy robotics and intelligent CPS.