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DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics.

, , , , , , and . ICLR, OpenReview.net, (2023)

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Mapping State Space using Landmarks for Universal Goal Reaching., , and . NeurIPS, page 1940-1950. (2019)ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations., , , , , , , , and . NeurIPS Datasets and Benchmarks, (2021)Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation., , , , , , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 1640-1651. PMLR, (2022)Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics., , , , , and . ICLR, OpenReview.net, (2022)Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 33850-33882. PMLR, (2023)PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics., , , , , , and . ICLR, OpenReview.net, (2021)Associative Embedding: End-to-End Learning for Joint Detection and Grouping., , and . NIPS, page 2277-2287. (2017)RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects., , , , , , and . Robotics: Science and Systems, (2023)Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories, , , , , , and . (2020)cite arxiv:2002.06478Comment: ICLR2020.Deductive Verification of Chain-of-Thought Reasoning., , , , , , and . NeurIPS, (2023)