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About

Satakshi Ghosh is an emerging researcher in distributed computing and swarm robotics, with a focused specialization in the coordination and self-organization of autonomous mobile robots. Her work primarily addresses two fundamental problems in the field: Arbitrary Pattern Formation (APF) and gathering, exploring these challenges across diverse grid-based environments including infinite rectangular and triangular grids. Ghosh's most significant contributions center on optimizing robot coordination under realistic constraints. Her 2022 paper on move-optimal and time-optimal arbitrary pattern formation under asynchronous schedulers, her most cited work with 12 citations, advanced the understanding of how oblivious robots can collectively form complex patterns without centralized control. She has further extended this research to incorporate challenging conditions such as limited visibility, finite memory, and opaque robot models, demonstrating both theoretical depth and practical relevance. Across her growing publication record, Ghosh consistently tackles the tension between computational constraints and efficiency metrics, producing algorithms that minimize moves, time, and space simultaneously. Her 2024 survey on the computational landscape of autonomous mobile robots signals her broader ambition to synthesize developments across the field. With over 30 cumulative citations across publications spanning just a few years, Ghosh represents a promising voice in the theoretical foundations of multi-robot systems.