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Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World.

, , , , , , , , , , , , , , , , , , , , , , , and . NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 133-150. PMLR, (2021)

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Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World., , , , , , , , , and 14 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 133-150. PMLR, (2021)Real Robot Challenge: A Robotics Competition in the Cloud., , , , , , , , , and 31 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 190-204. PMLR, (2021)Geometric Fabrics: a Safe Guiding Medium for Policy Learning., , , , , and . CoRR, (2024)Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger., , , , , , , , , and . CoRR, (2021)Symmetry Considerations for Learning Task Symmetric Robot Policies., , , , and . CoRR, (2024)DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training., , , , and . Robotics: Science and Systems, (2023)DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality., , , , , , , , , and 4 other author(s). CoRR, (2022)Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger., , , , , , , , , and . IROS, page 11802-11809. IEEE, (2022)Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning., , , , , , , , , and 1 other author(s). NeurIPS Datasets and Benchmarks, (2021)DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality., , , , , , , , , and 1 other author(s). ICRA, page 5977-5984. IEEE, (2023)