Dasharadhan Mahalingam

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Total Citations

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About

Dasharadhan Mahalingam is a robotics researcher whose work sits at the intersection of human-robot collaboration, motion planning, and agricultural automation. His primary research focuses on developing intuitive, human-guided motion planning algorithms that enable robots to perform complex manipulation tasks in dynamic, unstructured environments. Mahalingam introduced the Reactive Rapidly Expanding Plane-Oriented Escaping Trees (RRPEOT) algorithm, a coordinate-invariant, user-guided path planning framework that allows collaborative robots to adapt to environmental changes with minimal human input—a contribution that has garnered 14 citations. He further advanced the field by exploiting the screw geometry of motion to translate human demonstrations into constrained robot trajectories, achieving 10 citations for this work. Demonstrating the practical impact of his research, Mahalingam has applied cobot technology to containerized vertical farming, addressing space and automation challenges in hydroponic agriculture. His work bridges theoretical motion planning with real-world applications in manufacturing and agriculture, making him a notable emerging voice in the robotics community.