Abstract

This dataset contains data related to a novel attention-based neural architecture capable of solving a smoothing task for deformable objects, such as clothes and fabric, by means of a single robotic arm. In particular, the dataset contains the data used for the training on a model-free learning-based policy for cloth smoothing task and the script used to collect the resulting data. The data were produced in the framework of Horizon Europe INTELLIMAN project and are presented in the publication: K. Galassi, B. Wu, J. Perez, G. Palli and J. -M. Renders, "Attention-Based Cloth Manipulation from Model-free Topological Representation", 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 18207-18213, doi: 10.1109/ICRA57147.2024.10610241.