Links & Literature

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Software Documentation
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LITERATURE

S. Bauer et al. „A Robot Cluster for Reproducible Research in Dexterous Manipulation“. arXiv preprint arXiv:2109.10957 (2021).
M. Wüthrich, F. Widmaier, F. Grimminger, J. Akpo, S. Joshi, V. Agrawal, B. Hammoud, M. Khadiv, M. Bogdanovic, V. Berenz, J. Viereck, M. Naveau, L. Righetti, B. Schölkopf and S. Bauer. „TriFinger: An Open-Source Robot for Learning Dexterity“. In: Conference on Robot Learning (CoRL) (2020).
D. Agudelo-Espana, A. Zadaianchuk, P. Wenk, A. Garg, J. Alpo, F. Grimminger, J. Viereck, M. Naveau, L. Righetti, G. Martius, A. Krause, B. Schölkopf, S. Bauer and M. Wüthrich. „A New Robotic Dataset for Transferable Dynamics Learning“. In: International Conference on on Robotics and Automation (ICRA) (2020).
O. Ahmed, F. Träuble, A. Goyal, A. Neitz, M. Wüthrich, Y. Bengio, B. Schölkopf and S. Bauer. „CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning“. International Conference on Learning Representations (ICLR) (2021). International Conference on Learning Representations (ICLR) 2021
N. Funk, C. Schaff, R. Madan, T. Yoneda, J. De Jesus, J. Watson, E. Gordon, F. Widmaier, S. Bauer, S. Srinivasa, T. Bhattacharjee, M. Walter und J. Peters. „Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation“. arxiv
A. Allshire, M. Mittal, V. Lodaya, V. Makoviychuk, D. Makoviichuk, F. Widmaier, M. Wüthrich, S. Bauer, A. Handa, and A. Garg. "Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger." arXiv preprint arXiv:2108.09779 (2021).