Publications | ROB.AI-Lab.Science | Chair of Cyber-Physical-Systems

Publication List with Images

2014
Rueckert, Elmar Biologically inspired motor skill learning in robotics through probabilistic inference PhD Thesis Technical University Graz, 2014. Links \| BibTeX \| Tags: graphical models, locomotion, model learning, morphological compuation, movement primitives, policy search, postural control, Probabilistic Inference, Reinforcement Learning, RNN, SOC, spiking @phdthesis{Rueckert2014a, title = {Biologically inspired motor skill learning in robotics through probabilistic inference}, author = {Elmar Rueckert}, url = {https://cps.unileoben.ac.at/wp/PhDThesis2014Rueckert.pdf, Article File}, year = {2014}, date = {2014-02-04}, school = {Technical University Graz}, keywords = {graphical models, locomotion, model learning, morphological compuation, movement primitives, policy search, postural control, Probabilistic Inference, Reinforcement Learning, RNN, SOC, spiking}, pubstate = {published}, tppubtype = {phdthesis} } Close Article File Close
Rueckert, Elmar; Mindt, Max; Peters, Jan; Neumann, Gerhard Robust Policy Updates for Stochastic Optimal Control Proceedings Article In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2014. Links \| BibTeX \| Tags: policy search, Probabilistic Inference, SOC @inproceedings{Rueckert2014, title = {Robust Policy Updates for Stochastic Optimal Control}, author = {Elmar Rueckert and Max Mindt and Jan Peters and Gerhard Neumann}, url = {https://cps.unileoben.ac.at/wp/Humanoids2014Rueckert.pdf, Article File https://cps.unileoben.ac.at/wp/resources/code/MATLAB_RobustStochasticOptimalControl_2015Rueckert.zip, MATLAB Code}, year = {2014}, date = {2014-01-01}, booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)}, crossref = {p10768}, key = {codyco}, keywords = {policy search, Probabilistic Inference, SOC}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File MATLAB Code Close
2012
Rueckert, Elmar; Neumann, Gerhard Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation Journal Article In: Artificial Life, vol. 19, no. 1, 2012. Links \| BibTeX \| Tags: morphological compuation, Probabilistic Inference, SOC @article{Rueckert2012, title = {Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation}, author = {Elmar Rueckert and Gerhard Neumann}, url = {https://cps.unileoben.ac.at/wp/ArtificialLife2012Rueckert.pdf, Article File}, doi = {10.1162/ARTL_a_00085}, year = {2012}, date = {2012-11-27}, journal = {Artificial Life}, volume = {19}, number = {1}, keywords = {morphological compuation, Probabilistic Inference, SOC}, pubstate = {published}, tppubtype = {article} } Close Article File doi:10.1162/ARTL_a_00085 Close
2011
Rueckert, Elmar; Neumann, Gerhard A study of Morphological Computation by using Probabilistic Inference for Motor Planning Proceedings Article In: Proceedings of the 2nd International Conference on Morphological Computation (ICMC), pp. 51–53, 2011. Links \| BibTeX \| Tags: graphical models, morphological compuation, Probabilistic Inference, SOC @inproceedings{Rueckert2011, title = {A study of Morphological Computation by using Probabilistic Inference for Motor Planning}, author = {Elmar Rueckert and Gerhard Neumann}, url = {https://cps.unileoben.ac.at/wp/ICMC2011Rueckert.pdf, Article File}, year = {2011}, date = {2011-01-01}, booktitle = {Proceedings of the 2nd International Conference on Morphological Computation (ICMC)}, pages = {51--53}, crossref = {p10680}, keywords = {graphical models, morphological compuation, Probabilistic Inference, SOC}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File Close

Compact List without Images

Journal Articles

Rueckert, Elmar; Neumann, Gerhard

Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation Journal Article

In: Artificial Life, vol. 19, no. 1, 2012.

Links | BibTeX

Proceedings Articles

Rueckert, Elmar; Mindt, Max; Peters, Jan; Neumann, Gerhard

Robust Policy Updates for Stochastic Optimal Control Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2014.

Links | BibTeX

Rueckert, Elmar; Neumann, Gerhard

A study of Morphological Computation by using Probabilistic Inference for Motor Planning Proceedings Article

In: Proceedings of the 2nd International Conference on Morphological Computation (ICMC), pp. 51–53, 2011.

Links | BibTeX

PhD Theses

Rueckert, Elmar

Biologically inspired motor skill learning in robotics through probabilistic inference PhD Thesis

Technical University Graz, 2014.

Links | BibTeX

2014
Rueckert, Elmar Biologically inspired motor skill learning in robotics through probabilistic inference PhD Thesis Technical University Graz, 2014. Links \| BibTeX \| Tags: graphical models, locomotion, model learning, morphological compuation, movement primitives, policy search, postural control, Probabilistic Inference, Reinforcement Learning, RNN, SOC, spiking @phdthesis{Rueckert2014a, title = {Biologically inspired motor skill learning in robotics through probabilistic inference}, author = {Elmar Rueckert}, url = {https://cps.unileoben.ac.at/wp/PhDThesis2014Rueckert.pdf, Article File}, year = {2014}, date = {2014-02-04}, school = {Technical University Graz}, keywords = {graphical models, locomotion, model learning, morphological compuation, movement primitives, policy search, postural control, Probabilistic Inference, Reinforcement Learning, RNN, SOC, spiking}, pubstate = {published}, tppubtype = {phdthesis} } Close Article File Close
Rueckert, Elmar; Mindt, Max; Peters, Jan; Neumann, Gerhard Robust Policy Updates for Stochastic Optimal Control Proceedings Article In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2014. Links \| BibTeX \| Tags: policy search, Probabilistic Inference, SOC @inproceedings{Rueckert2014, title = {Robust Policy Updates for Stochastic Optimal Control}, author = {Elmar Rueckert and Max Mindt and Jan Peters and Gerhard Neumann}, url = {https://cps.unileoben.ac.at/wp/Humanoids2014Rueckert.pdf, Article File https://cps.unileoben.ac.at/wp/resources/code/MATLAB_RobustStochasticOptimalControl_2015Rueckert.zip, MATLAB Code}, year = {2014}, date = {2014-01-01}, booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)}, crossref = {p10768}, key = {codyco}, keywords = {policy search, Probabilistic Inference, SOC}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File MATLAB Code Close
2012
Rueckert, Elmar; Neumann, Gerhard Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation Journal Article In: Artificial Life, vol. 19, no. 1, 2012. Links \| BibTeX \| Tags: morphological compuation, Probabilistic Inference, SOC @article{Rueckert2012, title = {Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation}, author = {Elmar Rueckert and Gerhard Neumann}, url = {https://cps.unileoben.ac.at/wp/ArtificialLife2012Rueckert.pdf, Article File}, doi = {10.1162/ARTL_a_00085}, year = {2012}, date = {2012-11-27}, journal = {Artificial Life}, volume = {19}, number = {1}, keywords = {morphological compuation, Probabilistic Inference, SOC}, pubstate = {published}, tppubtype = {article} } Close Article File doi:10.1162/ARTL_a_00085 Close
2011
Rueckert, Elmar; Neumann, Gerhard A study of Morphological Computation by using Probabilistic Inference for Motor Planning Proceedings Article In: Proceedings of the 2nd International Conference on Morphological Computation (ICMC), pp. 51–53, 2011. Links \| BibTeX \| Tags: graphical models, morphological compuation, Probabilistic Inference, SOC @inproceedings{Rueckert2011, title = {A study of Morphological Computation by using Probabilistic Inference for Motor Planning}, author = {Elmar Rueckert and Gerhard Neumann}, url = {https://cps.unileoben.ac.at/wp/ICMC2011Rueckert.pdf, Article File}, year = {2011}, date = {2011-01-01}, booktitle = {Proceedings of the 2nd International Conference on Morphological Computation (ICMC)}, pages = {51--53}, crossref = {p10680}, keywords = {graphical models, morphological compuation, Probabilistic Inference, SOC}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File Close