Anupam Kumar Bairagi

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About

Anupam Kumar Bairagi is a prominent researcher in cloud robotics, multi-agent systems, and intelligent task scheduling. His work addresses the critical challenge of coordinating autonomous robots in complex, multi-robot environments, where efficient task allocation is essential for performance. Bairagi’s most cited paper, “Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm” (2023, 17 citations), introduces a novel scheduling framework that leverages cloud computing to assign tasks among robots in an orderly, autonomous manner. This contribution is pivotal for scaling robotic operations, enabling more sophisticated and independent task execution without human intervention. Beyond this, his research explores the intersection of cloud infrastructure and swarm robotics, aiming to reduce latency and improve resource utilization. With growing citation impact, Bairagi’s work is increasingly recognized for its practical implications in industrial automation, warehouse logistics, and disaster response. His achievements include advancing algorithmic solutions that bridge cloud computing and real-time robotic coordination, making him a key figure in the evolution of intelligent, cloud-connected robotic systems.