INTELLIMAN. WP5 T5-1-2. Scalable Shared Encoding Architecture for Learning-Based Error Detection in Robotic Wiring Harness Assembly

The dataset contains data related to the development of a learning-based solution for the detection of manufacturing errors in the context of robotic wiring harness assembly. In particular, the dataset contains the training data, the validation data, the needed python script to load the data, and the model used for the training of the neural network, used to develop the proposed neural networks-based error detector. The data were produced in the framework of Horizon Europe INTELLIMAN project and are presented in the publication: Galassi, A. Caporali, G. Laudante and G. Palli, "Scalable Shared Encoding Architecture for Learning-Based Error Detection in Robotic Wiring Harness Assembly", 2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Boston, MA, USA, 2024, pp. 518-523, doi: 10.1109/AIM55361.2024.10637054.