Olyvia Kundu

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About

Olyvia Kundu is a researcher at the forefront of industrial automation and robotics, with a primary focus on revolutionizing e-commerce warehouse logistics. Her most-cited work, "Design and Development of an automated Robotic Pick & Stow System for an e-Commerce Warehouse" (2017, 7 citations), presents a comprehensive robotic system that automates the critical tasks of picking and stowing objects in fulfillment centers. This system integrates four key modules—perception for object recognition and localization, manipulation, planning, and control—demonstrating a holistic approach to warehouse automation. Kundu's contributions address the pressing need for efficiency and accuracy in the rapidly growing e-commerce sector, where manual labor often bottlenecks operations. By detailing the design and development of this automated solution, she has laid groundwork for scalable robotic systems that can reduce human error and increase throughput. Her work is particularly notable for its practical, systems-level perspective, bridging computer vision and robotics to solve real-world logistical challenges. As a researcher, Kundu's impact lies in advancing the frontier of warehouse robotics, making her a valuable voice in the ongoing transformation of supply chain automation.