Mike Bogochow

University of New Hampshire at Manchester

Papers

Total Citations

H-Index

About

Mike Bogochow is a researcher in artificial intelligence, specializing in heuristic search and real-time planning for autonomous systems. His work addresses a fundamental challenge in robotics and AI: how to make effective decisions under strict time constraints. In his most cited paper, "Anytime versus Real-Time Heuristic Search for On-Line Planning" (2021, 4 citations), Bogochow provides a critical analysis of two dominant approaches—anytime search, which refines plans over time, and real-time search, which commits to actions immediately. He clarifies the trade-offs between these methods, offering insights that help engineers choose the right strategy for applications like robot navigation and game AI. Though his citation count is modest, his contribution is notable for its practical relevance, bridging theoretical search algorithms with on-line decision-making. Bogochow's work is particularly valuable for students and researchers designing systems that must balance plan quality with computational speed, making him a thoughtful voice in the ongoing evolution of intelligent, time-aware planning.