Chair of Cyber Physical Systems (190)
Organisational unit: Chair
Research output
- Published
Efficient online adaptation with stochastic recurrent neural networks
Tanneberg, D., Peters, J. & Rueckert, E., 22 Dec 2017, IEEE-RAS International Conference on Humanoid Robots. p. 198-204 7 p. (IEEE-RAS International Conference on Humanoid Robots).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
Evolutionary training and abstraction yields algorithmic generalization of neural computers
Tanneberg, D., Rückert, E. & Peters, J., 16 Nov 2020, In: Nature machine intelligence.Research output: Contribution to journal › Article › Research › peer-review
- Published
Experience Reuse with Probabilistic Movement Primitives
Stark, S., Peters, J. & Rueckert, E., Nov 2019, IEEE International Conference on Intelligent Robots and Systems. p. 1210-1217 8 p. (IEEE International Conference on Intelligent Robots and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A comparison of distance measures for learning nonparametric motor skill libraries
Stark, S., Peters, J. & Rueckert, E., 22 Dec 2017, IEEE-RAS International Conference on Humanoid Robots. p. 624-630 7 p. (IEEE-RAS International Conference on Humanoid Robots).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- Published
A Framework for Learning Visual and Tactile Correlation
Schödinger, B., 2022Research output: Thesis › Master's Thesis
- Published
Robust policy updates for stochastic optimal control
Rueckert, E., Mindt, M., Peters, J. & Neumann, G., 12 Feb 2015, p. 388-393. 6 p.Research output: Contribution to conference › Paper › peer-review
- Published
Extracting low-dimensional control variables for movement primitives
Rueckert, E., Mundo, J., Paraschos, A., Peters, J. & Neumann, G., 29 Jun 2015, In: Proceedings / IEEE International Conference on Robotics and Automation. 2015-June, June, p. 1511-1518 8 p., 7139390.Research output: Contribution to journal › Conference article › peer-review
- 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
Orientation Probabilistic Movement Primitives on Riemannian Manifolds
Rozo, L. & Dave, V., 8 Nov 2021, Conference on Robot Learning. 5 ed. Vol. 164. p. 373-383 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
