Santosh V. Narayan

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About

Santosh V. Narayan is a robotics researcher focused on advancing human-robot collaboration and autonomous manufacturing. His primary research areas include task allocation under uncertainty, human-robot teaming, and self-supervised learning for contact-rich manipulation. In his highly cited 2023 work on contingency-aware task assignment and scheduling (11 citations), Narayan addresses the critical challenge of enabling human-robot teams to handle dynamic task requirements in high-mix, low-volume settings like satellite assembly. He develops frameworks that allow teams to adapt to uncertainty in real time, improving efficiency and robustness. In parallel, his work on self-supervised learning for robotic finishing tasks introduces a novel method for robots to autonomously model spatially varying process parameters, learning how material stiffness changes across a part’s surface. This enables more efficient and precise execution of contact-based finishing operations without extensive manual programming. Narayan’s contributions are particularly impactful for industries requiring flexible automation, such as aerospace and advanced manufacturing. His research bridges the gap between theoretical planning and practical deployment, making him a notable emerging voice in adaptive robotic systems.