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Found 4 papers, 1 papers with code
Recognising Known Configurations of Garments For Dual-Arm Robotic Flattening
Predicting those object states and updating manipulation planning is time-consuming and computationally expensive.
Learning Physics Properties of Fabrics and Garments with a Physics Similarity Neural Network
In this paper, we propose to predict the physics parameters of real fabrics and garments by learning their physics similarities between simulated fabrics via a Physics Similarity Network (PhySNet).
Metaknowledge Extraction Based on Multi-Modal Documents
In this paper, we introduce the concept of metaknowledge to knowledge engineering research for the purpose of structural knowledge construction.
Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Applications
Our assumption is that the visual prediction of a garment's shapes and weights is possible via a neural network that learns the dynamic changes of garments from video sequences.
