Gianmarco Paduano — accepted AI-conference papers

2020

A Flexible Robotic Depalletizing System for Supermarket Logistics

Riccardo Caccavale, Pierluigi Arpenti, Gianmarco Paduano, Giuseppe Andrea Fontanelli, Vincenzo Lippiello, Luigi Villani +1

RA-L 2020

Depalletizing robotic systems are commonly deployed to automatize and speed-up parts of logistic processes. Despite this, the necessity to adapt the preexisting logistic processes to the automatic systems often impairs the application of such robotic solutions to small business realities like superm

Cited by 19 Source ↗Scholar ↗

2020

A Reconfigurable Gripper for Robotic Autonomous Depalletizing in Supermarket Logistics

Giuseppe Andrea Fontanelli, Gianmarco Paduano, Riccardo Caccavale, Pierluigi Arpenti, Vincenzo Lippiello, Luigi Villani +1

RA-L 2020

Automatic depalletizing is becoming a practice widely applied in warehouses to automatize and speed-up logistics. On the other hand, the necessity to adapt the preexisting logistic lines to a custom automatic system can be a limit for the application of robotic solutions into smaller facilities like

Cited by 20 Source ↗Scholar ↗

2020

RGB-D Recognition and Localization of Cases for Robotic Depalletizing in Supermarkets

Pierluigi Arpenti, Riccardo Caccavale, Gianmarco Paduano, Giuseppe Andrea Fontanelli, Vincenzo Lippiello, Luigi Villani +1

RA-L 2020

Integrating a robotic system into the depalletizing process of a supermarket demands a high level of autonomy, based on strong perceptive capabilities. This letter presents a system for detection, recognition, and localization of heterogeneous cases in a depalletizing robotic cell, using a single RG

Cited by 30 Source ↗Scholar ↗