Manoj Kumar Ojha

Papers

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About

Dr. Manoj Kumar Ojha is a leading researcher in multi-robot systems and cloud-based task scheduling, with a focus on autonomous coordination and optimization. His most-cited work, "Cloud Based Multi-Robot Task Scheduling Using PMW Algorithm" (2023, 17 citations), addresses a critical challenge in multi-robot environments: efficiently assigning multiple tasks to robots in a structured, autonomous manner. Dr. Ojha’s key contributions lie in developing the PMW (Priority-Matching-Workload) algorithm, which leverages cloud computing to enhance scheduling efficiency, reduce task completion time, and improve overall system scalability. This work is foundational for applications in warehouse automation, disaster response, and industrial robotics, where real-time, coordinated task allocation is essential. By integrating cloud-based resources, Dr. Ojha’s research enables robots to handle complex, dynamic workloads without centralized human intervention. His impact is reflected in the growing citation of his work, which is increasingly referenced in studies on swarm robotics and distributed AI. Dr. Ojha’s achievements include advancing the theoretical underpinnings of multi-robot scheduling and providing practical algorithms that bridge cloud computing and autonomous systems. For students and researchers, his work offers a compelling entry point into the intersection of robotics, cloud infrastructure, and optimization.