3 accepted papers
Deep Neural Networks (NNs) have been widely utilized in contact-rich manipulation tasks to model the complicated contact dynamics. However, NN-based models are often difficult to decipher which can lead to seemingly inexplicable behaviors and unidentifiable failure cases. In this work, we address th…
Identification of textile properties is an important milestone toward advanced robotic manipulation tasks that consider interaction with clothing items such as assisted dressing, laundry folding, automated sewing, textile recycling and reusing. Despite the abundance of work considering this class of…
Real-time grasp stability is based on successful slippage detection. In this work, we consider slippage detection as a binary problem (slip, stable) and we propose a novel set of temporal and frequential features, extracted from force norm profiles and collected during reliable ground truth labeling