Prasun Pallav

Papers

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About

Prasun Pallav is a researcher in cloud robotics and autonomous systems, with a focus on scalable fleet management for mobile robots. His most-cited work, "Managing a fleet of autonomous mobile robots (AMR) using cloud robotics platform" (2017, 7 citations), introduces a novel approach to coordinating multiple autonomous mobile robots through the Rapyuta Cloud Robotics Platform. In this system, each robot independently handles motion and obstacle avoidance, while a global planner assigns destinations via the cloud, enabling efficient, centralized oversight without compromising local autonomy. This contribution addresses a critical challenge in robotics: balancing individual robot intelligence with fleet-level coordination. Pallav’s work demonstrates how cloud platforms can enhance scalability and operational efficiency in real-world applications, such as logistics and manufacturing. By decoupling high-level planning from low-level control, his research paves the way for more adaptable and cost-effective multi-robot systems. Though early in his career, Pallav’s insights into cloud-robot interaction offer a foundation for future advances in autonomous fleet management, making his work a valuable reference for researchers exploring the intersection of cloud computing and robotics.