Eugene Chabot

Papers

Total Citations

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About

Eugene Chabot is a roboticist specializing in autonomous navigation and dynamic path planning for mobile systems. His primary research focuses on developing algorithms that enable robots to track and intercept moving targets—a critical capability for unmanned aerial and underwater vehicles operating in unpredictable environments. Chabot’s most influential work, "Mobile Robot Path Planning With a Moving Goal" (2018), introduces an incremental path planning algorithm that intelligently reuses prior planning data to efficiently compute new trajectories as a target shifts position. This contribution addresses a fundamental challenge in pursuit-evasion scenarios, reducing computational overhead while maintaining real-time responsiveness. The paper has garnered 31 citations, reflecting its practical relevance to fields like search-and-rescue robotics and autonomous surveillance. Chabot’s research bridges theoretical path planning with applied robotics, offering scalable solutions for time-sensitive missions. His work is particularly valued for its emphasis on computational efficiency, making it suitable for resource-constrained platforms. By advancing moving-target interception, Chabot continues to shape how autonomous systems operate in dynamic, real-world settings.