Marco Corzetto

Papers

Total Citations

H-Index

About

Marco Corzetto is a leading researcher in industrial robotics and human-robot collaboration, with a focus on automation solutions for manufacturing and logistics environments. His work centers on developing co-working systems that bridge the gap between manual operations and full automation, particularly in settings lacking existing robotic infrastructure. Corzetto’s most influential contributions include a novel robot co-worker system for paint factories, which has garnered 44 citations, and a human-robot co-working system for warehouse automation, cited 31 times. The latter addresses critical material handling challenges by integrating automated guided vehicles (AGVs) to optimize picking tasks, demonstrating significant efficiency gains over manual operations. His research is notable for its practical, deployable designs that enable small and medium-sized enterprises to adopt robotics without costly infrastructure overhauls. Corzetto’s work has been instrumental in advancing collaborative robotics, offering scalable solutions that enhance productivity in industrial settings. His achievements underscore a commitment to making automation accessible, with his papers serving as key references for researchers and engineers working on human-robot interaction and warehouse logistics.