Prajit Krisshna Kumar

University at Buffalo, State University of New York

Papers

Total Citations

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About

Prajit Krisshna Kumar is a rising researcher in swarm robotics and multi-agent systems, with a focus on enabling autonomous robot teams to operate in complex, adversarial environments. His most cited work, “Learning Robot Swarm Tactics over Complex Adversarial Environments” (2021, 14 citations), introduces a hierarchical framework that integrates single-robot behaviors with group-level primitives—such as task allocation, path planning, and formation control—to achieve mission-specific objectives like target search and area coverage. This contribution addresses a critical gap in real-world swarm deployment by bridging low-level control and high-level tactical decision-making. Kumar’s research has implications for defense, disaster response, and autonomous exploration, where robust coordination under uncertainty is essential. His work stands out for its practical approach to learning adaptive swarm tactics, earning recognition among peers working at the intersection of robotics, artificial intelligence, and control theory. As the field moves toward more resilient and scalable multi-robot systems, Kumar’s contributions offer a foundational step toward autonomous swarms capable of tackling dynamic, contested missions.