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About

Pritam Goswami is a rising researcher in distributed swarm robotics, focusing on the coordination of autonomous mobile robots in discrete and continuous environments. His primary research areas include pattern formation, gathering, and geometric algorithms for oblivious robot swarms with limited sensing and computational capabilities. Goswami has made significant contributions to solving the Arbitrary Pattern Formation (APF) problem—a fundamental challenge in which a swarm must arrange itself into any specified configuration without a central controller. His work extends APF to novel settings, including infinite rectangular grids and continuous circles, addressing constraints like robot obliviousness and myopia (limited visibility). Notably, his 2022 paper on time-optimal gathering of myopic robots on an infinite triangular grid tackles a long-standing open problem, proposing an algorithm that achieves efficient convergence despite severe sensory limitations. With each of his most-cited papers garnering 2 citations, Goswami’s research is gaining traction for its theoretical rigor and practical relevance to distributed systems. His achievements demonstrate a deep understanding of combinatorial geometry and algorithmic design, positioning him as a promising voice in the future of swarm intelligence and autonomous multi-agent systems.