Publications - Chair of Cyber-Physical-Systems

Publication List with Images

2018
Paraschos, Alexandros; Rueckert, Elmar; Peters, Jan; Neumann, Gerhard Probabilistic Movement Primitives under Unknown System Dynamics Journal Article In: Advanced Robotics (ARJ), vol. 32, no. 6, pp. 297-310, 2018. Links \| BibTeX \| Tags: inverse dynamics, model learning, movement primitives @article{Paraschos2018, title = {Probabilistic Movement Primitives under Unknown System Dynamics}, author = {Alexandros Paraschos and Elmar Rueckert and Jan Peters and Gerhard Neumann }, url = {https://cps.unileoben.ac.at/wp/AR2018Paraschos.pdf, Article File}, doi = {10.1080/01691864.2018.1437674}, year = {2018}, date = {2018-01-10}, journal = {Advanced Robotics (ARJ)}, volume = {32}, number = {6}, pages = {297-310}, keywords = {inverse dynamics, model learning, movement primitives}, pubstate = {published}, tppubtype = {article} } Close Article File doi:10.1080/01691864.2018.1437674 Close
2017
Rueckert, Elmar; Nakatenus, Moritz; Tosatto, Samuele; Peters, Jan Learning Inverse Dynamics Models in O(n) time with LSTM networks Proceedings Article In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017. Links \| BibTeX \| Tags: inverse dynamics, model learning, RNN @inproceedings{Humanoids2017Rueckert, title = {Learning Inverse Dynamics Models in O(n) time with LSTM networks}, author = {Elmar Rueckert and Moritz Nakatenus and Samuele Tosatto and Jan Peters}, url = {https://cps.unileoben.ac.at/wp/Humanoids2017Rueckert.pdf, Article File}, year = {2017}, date = {2017-11-15}, booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)}, crossref = {p11091}, key = {goal-robots, skills4robots}, keywords = {inverse dynamics, model learning, RNN}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File Close
2016
Tanneberg, Daniel; Paraschos, Alexandros; Peters, Jan; Rueckert, Elmar Deep Spiking Networks for Model-based Planning in Humanoids Proceedings Article In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016. Links \| BibTeX \| Tags: model learning, RNN, spiking @inproceedings{tanneberg_humanoids16, title = {Deep Spiking Networks for Model-based Planning in Humanoids}, author = {Daniel Tanneberg and Alexandros Paraschos and Jan Peters and Elmar Rueckert}, url = {https://cps.unileoben.ac.at/wp/Humanoids2016Tanneberg.pdf, Article File https://cps.unileoben.ac.at/wp/resources/videos/humanoids_slower_540p.mp4, Supplementary Video}, year = {2016}, date = {2016-11-16}, booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)}, crossref = {p10980}, key = {codyco and tacman}, keywords = {model learning, RNN, spiking}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File Supplementary Video Close
Azad, Morteza; Ortenzi, Valerio; Lin, Hsiu-Chin; Rueckert, Elmar; Mistry, Michael Model Estimation and Control of Complaint Contact Normal Force Proceedings Article In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016. Links \| BibTeX \| Tags: constraint optimization, human motor control, inverse dynamics, model learning @inproceedings{Humanoids2016Azad, title = {Model Estimation and Control of Complaint Contact Normal Force}, author = {Morteza Azad and Valerio Ortenzi and Hsiu-Chin Lin and Elmar Rueckert and Michael Mistry}, url = {https://cps.unileoben.ac.at/wp/Humanoids2016Azad.pdf, Article File https://cps.unileoben.ac.at/wp/resources/code/MATLAB_LocallyWeightedRegression_MEX_2015Rueckert.zip, MATLAB Code (fast LWR MEX-Function Implementation)}, year = {2016}, date = {2016-11-16}, booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)}, crossref = {p10986}, key = {codyco}, keywords = {constraint optimization, human motor control, inverse dynamics, model learning}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File MATLAB Code (fast LWR MEX-Function Implementation) Close
2015
Calandra, Roberto; Ivaldi, Serena; Deisenroth, Marc; Rueckert, Elmar; Peters, Jan Learning Inverse Dynamics Models with Contacts Proceedings Article In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2015. Links \| BibTeX \| Tags: inverse dynamics, model learning, neural network @inproceedings{Calandra2015, title = {Learning Inverse Dynamics Models with Contacts}, author = {Roberto Calandra and Serena Ivaldi and Marc Deisenroth and Elmar Rueckert and Jan Peters}, url = {https://cps.unileoben.ac.at/wp/ICRA15Calandra.pdf, Article File}, year = {2015}, date = {2015-01-01}, booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)}, crossref = {p10794}, key = {codyco}, keywords = {inverse dynamics, model learning, neural network}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File Close
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

Compact List without Images

Journal Articles

Paraschos, Alexandros; Rueckert, Elmar; Peters, Jan; Neumann, Gerhard

Probabilistic Movement Primitives under Unknown System Dynamics Journal Article

In: Advanced Robotics (ARJ), vol. 32, no. 6, pp. 297-310, 2018.

Links | BibTeX

Proceedings Articles

Rueckert, Elmar; Nakatenus, Moritz; Tosatto, Samuele; Peters, Jan

Learning Inverse Dynamics Models in O(n) time with LSTM networks Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017.

Links | BibTeX

Tanneberg, Daniel; Paraschos, Alexandros; Peters, Jan; Rueckert, Elmar

Deep Spiking Networks for Model-based Planning in Humanoids Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016.

Links | BibTeX

Azad, Morteza; Ortenzi, Valerio; Lin, Hsiu-Chin; Rueckert, Elmar; Mistry, Michael

Model Estimation and Control of Complaint Contact Normal Force Proceedings Article

In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016.

Links | BibTeX

Calandra, Roberto; Ivaldi, Serena; Deisenroth, Marc; Rueckert, Elmar; Peters, Jan

Learning Inverse Dynamics Models with Contacts Proceedings Article

In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2015.

Links | BibTeX

PhD Theses

Rueckert, Elmar

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

Technical University Graz, 2014.

Links | BibTeX

2018
Paraschos, Alexandros; Rueckert, Elmar; Peters, Jan; Neumann, Gerhard Probabilistic Movement Primitives under Unknown System Dynamics Journal Article In: Advanced Robotics (ARJ), vol. 32, no. 6, pp. 297-310, 2018. Links \| BibTeX \| Tags: inverse dynamics, model learning, movement primitives @article{Paraschos2018, title = {Probabilistic Movement Primitives under Unknown System Dynamics}, author = {Alexandros Paraschos and Elmar Rueckert and Jan Peters and Gerhard Neumann }, url = {https://cps.unileoben.ac.at/wp/AR2018Paraschos.pdf, Article File}, doi = {10.1080/01691864.2018.1437674}, year = {2018}, date = {2018-01-10}, journal = {Advanced Robotics (ARJ)}, volume = {32}, number = {6}, pages = {297-310}, keywords = {inverse dynamics, model learning, movement primitives}, pubstate = {published}, tppubtype = {article} } Close Article File doi:10.1080/01691864.2018.1437674 Close
2017
Rueckert, Elmar; Nakatenus, Moritz; Tosatto, Samuele; Peters, Jan Learning Inverse Dynamics Models in O(n) time with LSTM networks Proceedings Article In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2017. Links \| BibTeX \| Tags: inverse dynamics, model learning, RNN @inproceedings{Humanoids2017Rueckert, title = {Learning Inverse Dynamics Models in O(n) time with LSTM networks}, author = {Elmar Rueckert and Moritz Nakatenus and Samuele Tosatto and Jan Peters}, url = {https://cps.unileoben.ac.at/wp/Humanoids2017Rueckert.pdf, Article File}, year = {2017}, date = {2017-11-15}, booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)}, crossref = {p11091}, key = {goal-robots, skills4robots}, keywords = {inverse dynamics, model learning, RNN}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File Close
2016
Tanneberg, Daniel; Paraschos, Alexandros; Peters, Jan; Rueckert, Elmar Deep Spiking Networks for Model-based Planning in Humanoids Proceedings Article In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016. Links \| BibTeX \| Tags: model learning, RNN, spiking @inproceedings{tanneberg_humanoids16, title = {Deep Spiking Networks for Model-based Planning in Humanoids}, author = {Daniel Tanneberg and Alexandros Paraschos and Jan Peters and Elmar Rueckert}, url = {https://cps.unileoben.ac.at/wp/Humanoids2016Tanneberg.pdf, Article File https://cps.unileoben.ac.at/wp/resources/videos/humanoids_slower_540p.mp4, Supplementary Video}, year = {2016}, date = {2016-11-16}, booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)}, crossref = {p10980}, key = {codyco and tacman}, keywords = {model learning, RNN, spiking}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File Supplementary Video Close
Azad, Morteza; Ortenzi, Valerio; Lin, Hsiu-Chin; Rueckert, Elmar; Mistry, Michael Model Estimation and Control of Complaint Contact Normal Force Proceedings Article In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), 2016. Links \| BibTeX \| Tags: constraint optimization, human motor control, inverse dynamics, model learning @inproceedings{Humanoids2016Azad, title = {Model Estimation and Control of Complaint Contact Normal Force}, author = {Morteza Azad and Valerio Ortenzi and Hsiu-Chin Lin and Elmar Rueckert and Michael Mistry}, url = {https://cps.unileoben.ac.at/wp/Humanoids2016Azad.pdf, Article File https://cps.unileoben.ac.at/wp/resources/code/MATLAB_LocallyWeightedRegression_MEX_2015Rueckert.zip, MATLAB Code (fast LWR MEX-Function Implementation)}, year = {2016}, date = {2016-11-16}, booktitle = {Proceedings of the International Conference on Humanoid Robots (HUMANOIDS)}, crossref = {p10986}, key = {codyco}, keywords = {constraint optimization, human motor control, inverse dynamics, model learning}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File MATLAB Code (fast LWR MEX-Function Implementation) Close
2015
Calandra, Roberto; Ivaldi, Serena; Deisenroth, Marc; Rueckert, Elmar; Peters, Jan Learning Inverse Dynamics Models with Contacts Proceedings Article In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2015. Links \| BibTeX \| Tags: inverse dynamics, model learning, neural network @inproceedings{Calandra2015, title = {Learning Inverse Dynamics Models with Contacts}, author = {Roberto Calandra and Serena Ivaldi and Marc Deisenroth and Elmar Rueckert and Jan Peters}, url = {https://cps.unileoben.ac.at/wp/ICRA15Calandra.pdf, Article File}, year = {2015}, date = {2015-01-01}, booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)}, crossref = {p10794}, key = {codyco}, keywords = {inverse dynamics, model learning, neural network}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File Close
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