Prabhat Mahato

Indian Institute of Technology Bhubaneswar

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About

Prabhat Mahato is a leading researcher in multi-robot systems, with a primary focus on task allocation, energy efficiency, and consensus-based coordination. His most-cited work, "Consensus-based fast and energy-efficient multi-robot task allocation" (2022), has garnered 49 citations, reflecting its significant impact on the field. In this paper, Mahato introduced a novel framework that leverages distributed consensus protocols to optimize task assignment while minimizing energy consumption, addressing critical challenges in scalability and real-time decision-making for robotic swarms. His contributions are particularly notable for bridging theoretical consensus algorithms with practical, energy-aware implementations, enabling more sustainable and responsive multi-robot operations in dynamic environments. Mahato’s research has implications for applications ranging from search-and-rescue missions to industrial automation, where efficient coordination is paramount. By advancing both the speed and energy efficiency of task allocation, his work has influenced subsequent studies in distributed robotics and autonomous systems. Mahato continues to explore the intersection of optimization, control theory, and robotics, making him a key figure in the evolution of intelligent multi-agent systems.