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About

Libor Wagner is a leading researcher in robotic manipulation and perception, with a primary focus on automating complex, real-world tasks involving deformable objects and hazardous materials. His key research areas include garment handling, nuclear waste sorting, and sensor-integrated robotics, where he has pioneered complete, end-to-end solutions. Wagner’s most influential contribution is the development of a full pipeline for autonomous clothing folding using a dual-armed robot, a breakthrough that addresses the formidable challenges of machine vision and manipulation with non-rigid materials. His 2016 paper on this topic has garnered 125 citations, while his foundational 2014 work on garment perception and folding, which integrates vision sensing, segmentation, and planning, has been cited 79 times. Beyond textiles, Wagner has applied his expertise to critical safety applications, such as intelligent autonomous sorting of unclassified nuclear wastes (2017), aiming to replace slow, error-prone manual processes with robotic precision. He has also explored the use of advanced CZT detectors with robotic systems (2020). Through these contributions, Wagner has demonstrated a remarkable ability to bridge perception and action, advancing both the theory and practice of robotic automation in challenging, unstructured environments.