Chair of Cyber Physical Systems (190)
Organisational unit: Chair
Research output
- 2020
- 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
- 2019
- 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
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
Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors
Rottmann, N., Bruder, R., Schweikard, A. & Rueckert, E., 2019, p. 214-223. 10 p.Research output: Contribution to conference › Paper › peer-review
- Published
REAL-2019: Robot open-Ended Autonomous Learning competition
Cartoni, E., Mannella, F., Santucci, V. G., Triesch, J., Rückert, E. & Baldassarre, G., 2019, Proceedings of Machine Learning Research: 3rd Annual Conference on Neural Information Processing Systems, NeurIPS 2019. Vol. 123.2019. p. 142-152 11 p. (Proceedings of Machine Learning Research).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 2017
- 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
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
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
- 2016
- Published
Deep spiking networks for model-based planning in humanoids
Tanneberg, D., Paraschos, A., Peters, J. & Rueckert, E., 30 Dec 2016, IEEE-RAS International Conference on Humanoid Robots. p. 656-661 6 p. (IEEE-RAS International Conference on Humanoid Robots).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
- 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
