Narendra Bhagat

Papers

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About

Narendra Bhagat is a researcher at the forefront of intelligent automation and mobile robotics, with a focus on transforming everyday commercial and industrial processes. His work bridges the gap between autonomous systems and practical business applications, most notably through the development of the "SMART-Smart Mobile Autonomous Robotic Trolley" (2020), a pioneering system designed to alleviate congestion in busy shopping environments by autonomously following customers and streamlining the checkout process. This highly cited work (19 citations) addresses the real-world challenge of surge crowds in retail spaces, proposing a robotic solution that enhances consumer convenience. Expanding his impact into back-office efficiency, Bhagat’s research on "Customer Order Processing using Robotic Process Automation" (2021, 14 citations) tackles the pervasive issue of manual data entry in invoice handling, offering a framework for digitizing and automating order workflows to reduce errors and operational costs. By targeting both physical and digital automation, Bhagat demonstrates a keen ability to identify inefficiencies in high-traffic systems—whether in a shopping mall or a corporate supply chain. His contributions are particularly valuable for students and researchers exploring human-robot interaction, service robotics, and the practical deployment of RPA in logistics, marking him as an innovator in applied automation.