Marc Bosch-Jorge

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About

Marc Bosch-Jorge is a leading researcher in autonomous mobile robotics, with a primary focus on perception and navigation for industrial automated guided vehicles (AGVs). His work addresses the critical challenge of enabling AGVs to operate safely and flexibly in human-populated factory environments without relying on fixed infrastructure like guide wires or magnetic tape. His most cited paper, "Pallet detection and docking strategy for autonomous pallet truck AGV operation" (2021, 25 citations), introduces a vision-based system that allows AGVs to detect pallets and execute precise docking maneuvers in dynamic settings. This contribution has been foundational for advancing flexible, infrastructure-free logistics automation. Bosch-Jorge’s research spans computer vision, sensor fusion, and robust control strategies, directly impacting the efficiency and safety of modern industrial operations. His work is particularly notable for bridging the gap between theoretical perception algorithms and practical, real-world deployment in manufacturing and warehousing. With a growing citation record, Bosch-Jorge continues to influence the next generation of autonomous material handling systems.