Adri Bhattacharya

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About

Adri Bhattacharya’s research lies at the intersection of distributed algorithms, swarm robotics, and computational geometry, with a focus on coordinating autonomous mobile robots under realistic constraints. Their most cited work, “Mutual visibility of luminous robots despite angular inaccuracy” (2024, 5 citations), tackles a fundamental challenge in multi-robot systems: ensuring reliable line-of-sight communication when robots’ sensors have angular errors. This contribution is critical for real-world deployments where perfect sensing is impossible. Bhattacharya’s second major paper, “Distributed Uniform Partitioning of a Region using Opaque ASYNC Luminous Mobile Robots” (2024, 2 citations), addresses the practical problem of equitable workload distribution by having robots divide a bounded region into equal parts. The work is notable for handling opaque robots—which block each other’s view—and asynchronous operation, making it highly relevant for applications like search-and-rescue or environmental monitoring. Though early in their career, Bhattacharya’s focus on bridging theoretical guarantees with real-world constraints marks them as a rising voice in distributed robotics, with clear potential for high-impact contributions to autonomous systems.