George J. Pappas
Papers
1
Total Citations
6
H-Index
1
About
George J. Pappas is a prominent researcher at the intersection of control theory, robotics, and artificial intelligence, with a growing focus on the safety and reliability of autonomous systems. His work spans foundational problems in formal methods, hybrid systems, and multi-agent coordination, and has increasingly turned toward ensuring that cutting-edge AI technologies operate within rigorous safety boundaries. Among his most recent contributions, Pappas has tackled the emerging challenge of deploying large language models (LLMs) in robotic systems — a frontier where the transformative capabilities of modern AI collide with critical safety concerns. His work on safety guardrails for LLM-enabled robots addresses both average-case model errors and worst-case failure scenarios, providing principled frameworks to keep intelligent robots operating reliably in the real world. Though this particular line of research is in its early stages, already accumulating citations from the community, it reflects Pappas's broader career-long commitment to bridging theoretical rigor with practical deployment. His research has made a meaningful impact on how engineers and scientists think about trustworthy autonomy, influencing students, practitioners, and fellow researchers across control systems, robotics, and AI safety alike.
Research Focus
Key Achievements
Top Papers
- 1Safety Guardrails for LLM-Enabled Robots6 citations · 2026