Swaminathan Gopalswamy

Papers

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About

Swaminathan Gopalswamy is a leading researcher in autonomous systems and multi-agent coordination, with a focus on agricultural robotics and distributed sensing. His work addresses critical challenges in large-scale farming automation, particularly through motion planning for autonomous grain carts. In his highly cited 2021 paper (17 citations), Gopalswamy tackles labor shortages and rising costs in grain harvesting by developing algorithms that enable grain carts to autonomously navigate between combines and roadside semi-trailers, optimizing the transport workflow without human intervention. This contribution directly impacts agricultural efficiency and scalability. In another influential work (8 citations), Gopalswamy advances multi-target tracking by designing consensus-based multiagent rollout control policies. Here, he enables a fleet of connected robotic agents to maximize collective sensing value through distributed, information-driven control strategies. Each agent independently computes optimal actions to enhance overall tracking performance. Gopalswamy’s research bridges theoretical multi-agent systems with practical deployment in agriculture and surveillance, demonstrating significant real-world impact. His work is essential reading for students and researchers interested in autonomous navigation, cooperative robotics, and precision agriculture.