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About

Poojan Shah is a robotics researcher focused on developing low-cost, autonomous systems for real-world applications. His work spans library automation, precision agriculture, and autonomous navigation in constrained environments. In his most cited paper, "Development of an RFID-Based Semi-autonomous Robotic Library Management System" (2020, 5 citations), Shah introduced a novel, affordable robotic solution that automates book arrangement using line-following and RFID technology, significantly reducing human intervention in library inventory management. He further advanced agricultural robotics with "A Proposal of FPGA-Based Low Cost and Power Efficient Autonomous Fruit Harvester" (2020, 4 citations), integrating computer vision, deep learning, and a novel end-effector design for efficient fruit plucking. Shah also contributed to autonomous ground vehicle development through "Design and Implementation of Autonomous Ground Vehicle for Constrained Environments" (2019, 4 citations), where he led the design and validation of Eklavya 6.0—a three-wheeled differential drive robot capable of GPS waypoint navigation and lane following. His work demonstrates a consistent commitment to making autonomous robotics accessible and practical for everyday challenges.