Diksha Gupta

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About

Diksha Gupta is a robotics researcher whose work focuses on the intersection of swarm intelligence, collective robotics, and algorithmic optimization. Her primary research area is central-place foraging (CPF)—a foundational task in multi-robot systems with direct applications to planetary exploration, automated mining, warehousing, and search-and-rescue operations. Gupta’s major contribution lies in systematically analyzing how agent awareness—or the lack thereof—affects performance in swarm robotic foraging. In her most-cited paper, “Ignorance is Not Bliss” (8 citations), she compares three CPF algorithms, revealing critical trade-offs between exploration efficiency and task completion time. Her follow-up work, “On Site Fidelity and the Price of Ignorance” (4 citations), formalizes the performance gap between ignorant and omniscient foragers, quantifying the “price of ignorance” as a ratio of completion times. These studies provide a rigorous theoretical foundation for designing more efficient swarm algorithms, demonstrating that even simple agents can achieve near-optimal performance with minimal information. Gupta’s research is notable for bridging theoretical analysis with practical robotic constraints, offering actionable insights for engineers building resilient, scalable multi-robot systems. Her work is essential reading for students and researchers interested in swarm robotics, distributed intelligence, and bio-inspired algorithms.