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ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions., , , , , and . CoRR, (2020)MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects., , , , , , , and . CoRR, (2020)SWIRL: A SequentialWindowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards., , , , , , and . WAFR, volume 13 of Springer Proceedings in Advanced Robotics, page 672-687. Springer, (2016)Safe Reinforcement Learning Using Learned Safe Sets. University of California, Berkeley, USA, (2022)Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data., , , , , , , and . ICRA, page 9411-9418. IEEE, (2020)Disentangling Dense Multi-Cable Knots., , , , , , , , , and . IROS, page 3731-3738. IEEE, (2021)Untangling Dense Knots by Learning Task-Relevant Keypoints., , , , , , , , , and . CoRR, (2020)Efficiently Calibrating Cable-Driven Surgical Robots With RGBD Fiducial Sensing and Recurrent Neural Networks., , , , , , , and . IEEE Robotics Autom. Lett., 5 (4): 5937-5944 (2020)Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones., , , , , , , , , and . CoRR, (2020)Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics., , , , , , , , , and 3 other author(s). ICRA, page 11515-11522. IEEE, (2021)