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About

Szilard Mandici is a leading researcher in industrial automation and robotics, with a primary focus on advancing Automated Guided Vehicle (AGV) systems for logistics. His work addresses a critical gap in modern manufacturing: while production phases are highly automated, logistics often still rely on manual operations. Mandici’s major contributions center on enhancing AGV safety and perception through multi-level sensor fusion and omnidirectional vision. His most cited work, "The PAN-Robots Project: Advanced Automated Guided Vehicle Systems for Industrial Logistics" (69 citations), showcases a comprehensive system designed to bring logistics automation to the same level of efficiency as production. He has pioneered the integration of 2D safety laser scanners with 3D perception, creating a 360-degree field of view that enables AGVs to detect and avoid collisions with workers and structural elements. Additionally, his development of custom fisheye optics for omnidirectional stereo cameras, part of the EC-funded PAN-Robots project, represents a notable achievement in safety sensor technology. Through these innovations, Mandici is helping to create safer, more efficient, and fully automated industrial environments.