Puneet Jain

Indraprastha Institute of Information Technology Delhi, Brigham Young University

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About

Puneet Jain investigates the intersection of swarm robotics and autonomous systems, focusing on how decentralized collectives can be controlled, measured, and optimized. His work addresses fundamental challenges in multi-robot coordination, particularly the role of leader placement in robotic swarms—a problem with direct implications for search-and-rescue, environmental monitoring, and distributed sensing. His most cited paper, "Effect of Leader Placement on Robotic Swarm Control" (2017, 5 citations), provides a novel framework for quantifying leader influence on swarm efficiency and robustness, drawing inspiration from biological systems. Jain also contributes to the formal verification of autonomous systems, developing adapted metrics for competency and resilience using Discrete Time Markov Chains (2022, 3 citations), enabling rigorous performance guarantees for time-critical missions. His recent work on agent-based models for best-of-N decision-making (2023, 2 citations) extends bio-inspired principles to fully distributed swarms, predicting collective performance without centralized oversight. Through these contributions, Jain advances both the theoretical foundations and practical design of resilient, scalable robot swarms, offering tools for engineers and researchers working at the frontier of autonomous collective behavior.