Rajiv Kumar Mishra

Tokyo Institute of Technology, KIIT University

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About

Rajiv Kumar Mishra is a leading researcher in multiagent systems, odor source localization, and nonlinear control for robotics. His seminal work, "Consensus-Based Odor Source Localization by Multiagent Systems Under Resource Constraints" (2019, 24 citations), addresses the critical challenge of deploying networked robots with limited computing and energy resources to collaboratively locate odor sources—a breakthrough for environmental monitoring and search-and-rescue operations. Mishra also made significant contributions to robotic manipulation, developing robust and smooth sliding mode controllers for robotic arms (2013, 14 citations) and industrial pick-and-place systems (2015, 5 citations). His control strategies ensure asymptotic stability and resilience against uncertainties, enabling precise, automated tasks in manufacturing. By bridging theoretical control design with practical constraints like bandwidth and energy limitations, Mishra’s work has advanced the real-world deployment of autonomous systems. His research is highly cited for its innovative fusion of consensus algorithms and sliding mode control, offering scalable solutions for resource-constrained multiagent networks. Mishra’s achievements underscore his impact on intelligent robotics and distributed sensing, making him a key figure in the evolution of autonomous, cooperative systems.