N. Arun Vignesh

Missouri University of Science and Technology, Institute of Engineering

Papers

Total Citations

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About

N. Arun Vignesh is a robotics researcher whose work lies at the intersection of control theory, multi-agent systems, and automation. His most significant contribution is in the domain of distributed formation control for nonholonomic mobile robots, where he pioneered an event-triggered, consensus-based approach that integrates neural networks to handle uncertain robot dynamics. This work, published in 2017 and garnering 15 citations, addresses a critical challenge in swarm robotics: enabling efficient, decentralized coordination while minimizing unnecessary communication between agents. By introducing event-triggered communication, Vignesh’s framework reduces bandwidth usage and energy consumption, making it highly relevant for real-world applications like warehouse automation and environmental monitoring. More recently, he has expanded into virtual image processing for robot automation, exploring how simulated environments can enhance human-robot interaction and autonomous decision-making. While this work is still emerging, it signals a forward-looking interest in bridging digital twins with physical robotic systems. Vignesh’s research is particularly valuable for students and engineers working on scalable, resilient multi-robot systems, offering practical solutions for achieving robust coordination under real-world constraints.