Links & Literature
- Follow us on Twitter: @robo_challenge.
- Software Documentation
- If you are interested in getting access to the robots for custom research projects, see the information on the start page.
LITERATURE
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S. Bauer et al. „A Robot Cluster for Reproducible Research in Dexterous Manipulation“. arXiv preprint arXiv:2109.10957 (2021).
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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).
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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).
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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
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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
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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).