Jordan Ramsdell

University of New Hampshire at Manchester

Papers

Total Citations

H-Index

About

Jordan Ramsdell is a researcher in artificial intelligence, with a focus on real-time heuristic search and safe autonomous planning. His most-cited work, "Avoiding Dead Ends in Real-Time Heuristic Search" (2018, 21 citations), addresses a critical gap in on-line planning for systems like mobile robots that must plan and act concurrently. Ramsdell identifies that existing real-time search methods lack a notion of safety, leading to poor performance in domains where agents can become trapped in dead ends. His contribution introduces techniques to detect and avoid such states, significantly improving the reliability of real-time decision-making under constraints. This work has been influential in advancing the safety and robustness of autonomous systems, earning recognition among peers in AI planning. Ramsdell's research bridges theoretical search algorithms and practical deployment, making his findings valuable for students and engineers developing real-world robotic and AI applications.