Human-robot collaboration has become a key driver for manufacturing sustainability in Europe. Thanks to the many advantages that a fenceless, shared working environment offers, industry has recently grown a particular interest in collaborative robotics, thus sustaining the transition from academy to factories of this technology. In this work, we present a robotic solution integrating a serial manipulator and a mobile platform, both characterized by collaborative features, for feeding raw material to a packaging automatic machine. The goal is to provide an overview of such a complex system from different points of view, including hardware and software architecture, trajectory planning, computer-vision strategies, customized mechanical design, and field validation. We will describe the obtained results and the lessons learned, and provide an outlook for future evolution.
Comari S., Di Leva R., Carricato M., Badini S., Carapia A., Collepalumbo G., et al. (2022). Mobile cobots for autonomous raw-material feeding of automatic packaging machines. JOURNAL OF MANUFACTURING SYSTEMS, 64, 211-224 [10.1016/j.jmsy.2022.06.007].
Mobile cobots for autonomous raw-material feeding of automatic packaging machines
Comari S.
;Di Leva R.;Carricato M.
;
2022
Abstract
Human-robot collaboration has become a key driver for manufacturing sustainability in Europe. Thanks to the many advantages that a fenceless, shared working environment offers, industry has recently grown a particular interest in collaborative robotics, thus sustaining the transition from academy to factories of this technology. In this work, we present a robotic solution integrating a serial manipulator and a mobile platform, both characterized by collaborative features, for feeding raw material to a packaging automatic machine. The goal is to provide an overview of such a complex system from different points of view, including hardware and software architecture, trajectory planning, computer-vision strategies, customized mechanical design, and field validation. We will describe the obtained results and the lessons learned, and provide an outlook for future evolution.File | Dimensione | Formato | |
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Comari-DiLeva-Carricato-etAl_JMS2022_Postprint.pdf
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