Seth Gee

The University of Texas at Austin, Traclabs (United States)

Papers

Total Citations

H-Index

About

Seth Gee’s research lies at the intersection of autonomous systems, human-robot collaboration, and intelligent infrastructure. His most cited work, “A Platform for Evaluating Autonomous Intersection Management Policies” (43 citations), addresses the critical challenge of deploying cyber-physical infrastructure to enable safe and efficient control of autonomous vehicles at intersections—a foundational contribution to the future of smart transportation. Gee has also advanced robot manipulation through his work on Generalized Affordance Templates, which provide standardized, augmented-reality-enhanced tools for defining complex manipulation tasks, enabling intuitive human-in-the-loop operation. His PHARAOH architecture (2016) further demonstrates his commitment to making autonomous robots and human-robot teams more transparent and controllable, allowing operators to preview, verify, and adjust robot plans in real time. Across these contributions, Gee’s work consistently emphasizes the importance of bridging autonomy with human oversight, creating systems that are both powerful and trustworthy. His research continues to shape how robots and autonomous vehicles interact with people and their environments, offering practical frameworks for real-world deployment.