William Doyle

University of New Hampshire at Manchester

Papers

Total Citations

H-Index

About

William Doyle is a researcher in artificial intelligence, with a primary focus on real-time heuristic search and safe autonomous planning. His most cited work, "Avoiding Dead Ends in Real-Time Heuristic Search" (2018), addresses a critical gap in on-line planning for systems like mobile robots that must plan and act concurrently. Doyle demonstrated that existing real-time search methods lack a notion of safety, often leading agents into dead-end states where no goal is reachable. His major contribution is the development of algorithms that incorporate safety guarantees, enabling agents to avoid irreversible failures while maintaining real-time performance. With over 20 citations, this work has influenced subsequent research in safe AI and robotics. Doyle’s research bridges theoretical search algorithms and practical deployment, making his findings valuable for students and engineers building autonomous systems that must operate reliably under time constraints.