Elmar Rückert
Research output
Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems
Rückert, E. & d'Avella, A., 17 Oct 2013, In: Frontiers in computational neuroscience. 7.2013, October, 18 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Learning hierarchical acquisition functions for bayesian optimization
Rottmann, N., Kunavar, T., Babic, J., Peters, J. & Rueckert, E., 24 Oct 2020, IEEE International Conference on Intelligent Robots and Systems. p. 5490-5496 7 p. (IEEE International Conference on Intelligent Robots and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Learning inverse dynamics models in O(n) time with LSTM networks
Rueckert, E., Nakatenus, M., Tosatto, S. & Peters, J., 22 Dec 2017, IEEE-RAS International Conference on Humanoid Robots. p. 811-816 6 p. (IEEE-RAS International Conference on Humanoid Robots).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Learning inverse dynamics models with contacts
Calandra, R., Ivaldi, S., Deisenroth, M. P., Rueckert, E. & Peters, J., 29 Jun 2015, In: Proceedings / IEEE International Conference on Robotics and Automation. 2015-June, June, p. 3186-3191 6 p., 7139638.Research output: Contribution to journal › Conference article › peer-review
- Published
Learning probabilistic features from EMG data for predicting knee abnormalities
Kohlschuetter, J., Peters, J. & Rueckert, E., 2016, IFMBE Proceedings. p. 662-666 5 p. (IFMBE Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research
- Published
Learning soft task priorities for control of redundant robots
Modugno, V., Neumann, G., Rueckert, E., Oriolo, G., Peters, J. & Ivaldi, S., 8 Jun 2016, In: Proceedings - IEEE International Conference on Robotics and Automation. p. 221-226 6 p.Research output: Contribution to journal › Conference article › peer-review
- Published
Loop closure detection in closed environments
Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., Sept 2019.Research output: Contribution to conference › Paper › peer-review
- Published
M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
Lygerakis, F., Dave, V. & Rückert, E., 1 Mar 2024, In: IEEE International Conference on Ubiquitous Robots.Research output: Contribution to journal › Conference article › peer-review
Medical robotics simulation framework for application-specific optimal kinematics
Böttger, S., Çallar, T. C., Schweikard, A. & Rückert, E., 18 Sept 2019, In: Current directions in biomedical engineering. 5.2019, 1, p. 145-148 4 p.Research output: Contribution to journal › Article › Research › peer-review
- Published
Model estimation and control of compliant contact normal force
Azad, M., Ortenzi, V., Lin, H. C., Rueckert, E. & Mistry, M., 30 Dec 2016, IEEE-RAS International Conference on Humanoid Robots. p. 442-447 6 p. (IEEE-RAS International Conference on Humanoid Robots).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
