Sharad Kumar Singh

Papers

Total Citations

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About

Sharad Kumar Singh is a researcher specializing in differential game theory, multi-agent systems, and autonomous robotics, with a particular focus on pursuit-evasion and target defense problems. His work addresses complex strategic interactions between multiple autonomous agents, combining mathematical game theory with practical robotics applications. Singh's most notable contribution lies in the study of active target-attacker-defender (ATAD) differential games. His 2021 paper, which has garnered 17 citations, advances the field by developing receding horizon-based switching strategies for multi-target defense scenarios, enabling defenders to dynamically adapt their roles in response to evolving threat environments. This work provides meaningful theoretical tools for designing intelligent defense systems in aerospace, robotics, and autonomous vehicle domains. His earlier 2019 work extends these game-theoretic frameworks to physical robotic platforms, modeling three-agent predator-prey interactions using differential drive mobile robots (DDMRs). By bridging abstract differential game formulations with real-world robotic systems, Singh demonstrates the practical applicability of his theoretical contributions. Overall, Singh's research makes a meaningful impact on the intersection of control theory, autonomous systems, and strategic decision-making, offering valuable insights for students and researchers working on multi-agent coordination, robotic security systems, and dynamic game-theoretic control.