Max Robotics — Global Service Robot Directory + US Certification

About

Cosimo Patruno is an accomplished researcher specializing in computer vision, robot localization, and autonomous navigation systems, with a particular focus on industrial and manufacturing environments. His work sits at the intersection of robotics, deep learning, and applied machine vision, addressing real-world challenges in automated guided vehicle (AGV) technology. Patruno's most influential contribution, a vision-based odometry system for omnidirectional indoor robots (2020, 27 citations), introduced a monocular downward-facing camera approach to precisely estimate robot pose in industrial settings — a practical and cost-effective alternative to traditional localization methods. Building on this foundation, his 2024 work on autonomous omnidirectional AGVs (21 citations) advanced the field further by enabling intelligent navigation within dynamic factory environments, including interaction with human workers. His innovative Optical Encoder Neural Network (OE-net), leveraging convolutional neural networks for robot localization, demonstrates his commitment to integrating deep learning into robotics applications. Earlier work applying laser profilometry to smart vehicle control highlights the breadth of his sensing expertise. Most recently, his involvement in the VISTA aircraft interior inspection system underscores his expanding reach into aerospace automation. Collectively, his research has accumulated over 60 citations, reflecting meaningful and growing impact across robotics and industrial automation communities.