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Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties

D. Driess, H. Zimmermann, S. Wolfen, D. Suissa, D. Haeufle, D. Hennes, M. Toussaint, and S. Schmitt. 2018 IEEE International Conference on Robotics and Automation (ICRA), page 6461--6468. IEEE, (2018)

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Deep Visual Heuristics : Learning Feasibility of Mixed-Integer Programs for Manipulation PlanningD. Driess, Ö. Ögüz, J. Ha, and M. Toussaint. 2020 IEEE International Conference on Robotics and Automation (ICRA), page 9563-9569. Piscataway, IEEE, (2020)Long-Horizon Multi-Robot Rearrangement Planning for Construction AssemblyV. Hartmann, A. Orthey, D. Driess, O. Oguz, and M. Toussaint. IEEE transactions on robotics, (2022)Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning.D. Driess, J. Ha, M. Toussaint, and R. Tedrake. CoRL, volume 164 of Proceedings of Machine Learning Research, page 245-255. PMLR, (2021)Robust Task and Motion Planning for Long-Horizon Architectural Construction PlanningV. Hartmann, Ö. Ögüz, D. Driess, M. Toussaint, and A. Menges. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), page 6886-6893. Piscataway, IEEE, (2020)Optimality principles in human point-to-manifold reaching accounting for muscle dynamicsI. Wochner, D. Driess, H. Zimmermann, D. Haeufle, M. Toussaint, and S. Schmitt. Frontiers in Computational Neuroscience, (2020)Muscles Reduce Neuronal Information Load : Quantification of Control Effort in Biological vs. Robotic Pointing and WalkingD. Häufle, I. Wochner, D. Holzmüller, D. Driess, M. Günther, and S. Schmitt. Frontiers In Robotics and AI, (2020)Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle DynamicsI. Wochner, D. Drieß, H. Zimmermann, D. Häufle, M. Toussaint, and S. Schmitt. Frontiers in Computational Neuroscience, (2020)Muscles reduce neuronal information load : quantification of control effort in biological vs. robotic pointing and walkingD. Häufle, I. Wochner, D. Holzmüller, D. Drieß, M. Günther, and S. Schmitt. Frontiers in Robotics and AI, (2020)A Probabilistic Framework for Constrained Manipulations and Task and Motion Planning under UncertaintyJ. Ha, D. Driess, and M. Toussaint. 2020 IEEE International Conference on Robotics and Automation (ICRA), page 6745-6751. Piscataway, IEEE, (2020)Active Inverse Model Learning with Error and Reachable Set EstimatesD. Driess, S. Schmitt, and M. Toussaint. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), page 1826-1833. IEEE, (2019)

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Disambiguation of "Driess, Danny"

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Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties

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Disambiguation of "Driess, Danny"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties

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Learning to control redundant musculoskeletal systems with neural networks and SQP: exploiting muscle properties