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Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics., , , , , , , , , and 3 other author(s). ICRA, page 11515-11522. IEEE, (2021)Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor., , , , , , , , , and 4 other author(s). IROS, page 9651-9658. IEEE, (2020)Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images., , , , , , , , , and 3 other author(s). CoRR, (2020)Deep Imitation Learning of Sequential Fabric Smoothing Policies., , , , , , , , , and 4 other author(s). CoRR, (2019)Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning., , , , , and . ICRA, page 2656-2662. IEEE, (2022)Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research., , , , , , , , , and . IROS, page 251-257. IEEE, (2022)VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation., , , , , , , , and . Robotics: Science and Systems, (2020)MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects., , , , , , , and . CoRR, (2020)VisuoSpatial Foresight for Physical Sequential Fabric Manipulation., , , , , , , , and . CoRR, (2021)VisuoSpatial Foresight for physical sequential fabric manipulation., , , , , , , , and . Auton. Robots, 46 (1): 175-199 (2022)