Bin Picking Approaches Based on Deep Learning Techniques: A State-of-the-Art Survey. - Artur Cordeiro; Luís Freitas Rocha; Carlos M. Costa 001; Pedro Costa 001; Manuel F. Silva 001 (ICARSC, 2022)

Object Segmentation for Bin Picking Using Deep Learning. - Artur Cordeiro; Luís Freitas Rocha; Carlos M. Costa 001; Manuel F. Silva 001 (ROBOT (2), 2022)

Bin Picking for Ship-Building Logistics Using Perception and Grasping Systems. - Artur Cordeiro; João Pedro Carvalho de Souza; Carlos M. Costa 001; Vítor Filipe; Luís Freitas Rocha; Manuel F. Silva 001 (Robotics, 2023)

6D pose estimation for objects based on polygons in cluttered and densely occluded environments. - Artur Cordeiro; Luís Freitas Rocha; José Boaventura Cunha; João Pedro Carvalho de Souza (ICARSC, 2024)

Pallet and Pocket Detection Based on Deep Learning Techniques. - Daniele Caldana; Artur Cordeiro; João Pedro Carvalho de Souza; Ricardo B. Sousa; Paulo M. Rebelo; António Joaquim Silva; Manuel F. Silva 001 (ROBOT, 2024)

Object segmentation dataset generation framework for robotic bin-picking: Multi-metric analysis between results trained with real and synthetic data. - Artur Cordeiro; Luís Freitas Rocha; José Boaventura Cunha; Eduardo José Solteiro Pires; João Pedro Carvalho de Souza (Comput. Ind. Eng., 2025)