Kyle Klein

Papers

Total Citations

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About

Kyle Klein is a researcher in algorithmic game theory and computational geometry, with a primary focus on pursuit-evasion problems. His work explores how agents with opposing goals—such as pursuers and evaders—interact on complex surfaces and in multiagent settings. Klein’s most cited paper, “Pursuit Evasion on Polyhedral Surfaces” (2013, 10 citations), introduces novel strategies for capturing evaders on non-planar, polyhedral terrains, extending classical pursuit-evasion theory to more realistic, three-dimensional environments. A follow-up study (2015, 4 citations) refines these results, addressing limitations in visibility and motion constraints. In “Multiagent Pursuit Evasion, or Playing Kabaddi” (2010, 3 citations), Klein draws inspiration from the traditional South Asian sport to model coordinated pursuit by multiple agents, blending cultural insight with algorithmic design. Though his citation counts are modest, Klein’s contributions are foundational for robotics, surveillance, and autonomous systems, where efficient pursuit strategies on irregular surfaces are critical. His work bridges theoretical computer science and practical applications, offering elegant solutions to problems of movement and capture in constrained spaces.