Alessio Caporali
Orcid: 0000-0001-9522-4231
According to our database1,
Alessio Caporali
authored at least 18 papers
between 2020 and 2024.
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Bibliography
2024
IEEE Robotics Autom. Lett., 2024
Scalable Shared Encoding Architecture for Learning-Based Error Detection in Robotic Wiring Harness Assembly.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024
Monocular Estimation of Connector Orientation: Combining Deformable Linear Object Priors and Smooth Angle Classification.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2024
2023
Self-Supervised Regression of sEMG Signals Combining Non-Negative Matrix Factorization With Deep Neural Networks for Robot Hand Multiple Grasping Motion Control.
IEEE Robotics Autom. Lett., December, 2023
IEEE Trans. Ind. Informatics, November, 2023
IEEE Robotics Autom. Lett., June, 2023
A Weakly Supervised Semi-Automatic Image Labeling Approach for Deformable Linear Objects.
IEEE Robotics Autom. Lett., 2023
CaldanAugmenty - Augmented Reality and Serious Game App for Urban Cultural Heritage Learning.
Proceedings of the Extended Reality - International Conference, 2023
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023
2022
Ariadne+: Deep Learning-Based Augmented Framework for the Instance Segmentation of Wires.
IEEE Trans. Ind. Informatics, 2022
IEEE Robotics Autom. Lett., 2022
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022
2021
A Cyber-Physical System for Clothes Detection, Manipulation and Washing Machine Loading.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2021
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2021
2020
Pointcloud-based Identification of Optimal Grasping Poses for Cloth-like Deformable Objects.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020