Keshav Gupta

Papers

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About

Keshav Gupta’s research lies at the intersection of networked robotics, machine-to-machine (M2M) communication, and resource-constrained systems. His most cited work, “M2M communication system for networked robots with low memory footprint” (2014, 3 citations), addresses a critical challenge in multi-robot coordination: enabling teams of small, power-limited robots to exchange environmental and task-progress data despite severe constraints on storage, processing power, and wireless range. Gupta’s key contribution is a lightweight communication protocol that maintains reliable information sharing even under frequent disconnections, allowing robots with minimal hardware to collaborate effectively on common tasks. This work is foundational for deploying swarms of low-cost robots in real-world scenarios like search-and-rescue or environmental monitoring, where traditional high-bandwidth solutions are impractical. Though his citation count is modest, Gupta’s focus on practical, memory-efficient design has influenced subsequent research in edge robotics and IoT-enabled autonomous systems. His achievements demonstrate a deep understanding of the trade-offs between communication reliability and hardware limitations, making his work a valuable reference for students and engineers building resilient, low-power robotic networks.