Max Robotics — Global Service Robot Directory + US Certification

About

Maurice Pagnucco is a prominent researcher whose work sits at the intersection of cognitive robotics, artificial intelligence, and sustainable automation. He is best known for his pioneering contributions to robotic disassembly systems — an emerging field focused on automating the dismantling of end-of-life electronic and electrical equipment (WEEE) to support environmentally responsible recycling. His foundational papers, including "A Framework for Using Cognitive Robotics in Disassembly Automation" (2012) and "Application of Cognitive Robotics in Disassembly of Products" (2013, 106 citations), established core principles for building flexible, vision-based robotic systems capable of handling real-world product variability. His subsequent work on machine learning, ontology-based rule generation, and multi-head tooling further advanced the field's practical applicability. Beyond robotics, Pagnucco has made notable contributions to autonomous systems more broadly, including pedestrian trajectory prediction for autonomous driving (77 citations) and multi-agent task allocation through auction mechanisms. His research consistently bridges theoretical AI with real-world engineering challenges, and his cumulative citation record reflects significant influence across robotics, AI, and sustainability communities. His work remains essential reading for researchers tackling the growing global challenge of intelligent, automated waste management.