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

Publication List with Images

2016
Modugno, Valerio; Neumann, Gerhard; Rueckert, Elmar; Oriolo, Giuseppe; Peters, Jan; Ivaldi, Serena Learning soft task priorities for control of redundant robots Proceedings Article In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2016. Links \| BibTeX \| Tags: constraint optimization, policy search @inproceedings{Modugno_PICRA_2016, title = {Learning soft task priorities for control of redundant robots}, author = {Valerio Modugno and Gerhard Neumann and Elmar Rueckert and Giuseppe Oriolo and Jan Peters and Serena Ivaldi}, url = {https://cps.unileoben.ac.at/wp/ICRA2016Modugno.pdf, Article File}, year = {2016}, date = {2016-01-01}, booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)}, crossref = {p10900}, key = {codyco}, keywords = {constraint optimization, policy search}, 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
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
2013
Rueckert, Elmar; d’Avella, Andrea Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems Proceedings Article In: Abstracts of Neural Control of Movement Conference (NCM), Conference Talk, pp. 27–28, 2013. Links \| BibTeX \| Tags: muscle synergies, policy search, Reinforcement Learning @inproceedings{Rueckert2013, title = {Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems}, author = {Elmar Rueckert and Andrea d'Avella}, url = {https://cps.unileoben.ac.at/wp/Frontiers2013bRueckert.pdf, Article File}, year = {2013}, date = {2013-01-01}, booktitle = {Abstracts of Neural Control of Movement Conference (NCM), Conference Talk}, pages = {27--28}, crossref = {p10682}, keywords = {muscle synergies, policy search, Reinforcement Learning}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File Close

Compact List without Images

Proceedings Articles

Modugno, Valerio; Neumann, Gerhard; Rueckert, Elmar; Oriolo, Giuseppe; Peters, Jan; Ivaldi, Serena

Learning soft task priorities for control of redundant robots Proceedings Article

In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2016.

Links | BibTeX

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; d’Avella, Andrea

Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems Proceedings Article

In: Abstracts of Neural Control of Movement Conference (NCM), Conference Talk, pp. 27–28, 2013.

Links | BibTeX

PhD Theses

Rueckert, Elmar

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

Technical University Graz, 2014.

Links | BibTeX

2016
Modugno, Valerio; Neumann, Gerhard; Rueckert, Elmar; Oriolo, Giuseppe; Peters, Jan; Ivaldi, Serena Learning soft task priorities for control of redundant robots Proceedings Article In: Proceedings of the International Conference on Robotics and Automation (ICRA), 2016. Links \| BibTeX \| Tags: constraint optimization, policy search @inproceedings{Modugno_PICRA_2016, title = {Learning soft task priorities for control of redundant robots}, author = {Valerio Modugno and Gerhard Neumann and Elmar Rueckert and Giuseppe Oriolo and Jan Peters and Serena Ivaldi}, url = {https://cps.unileoben.ac.at/wp/ICRA2016Modugno.pdf, Article File}, year = {2016}, date = {2016-01-01}, booktitle = {Proceedings of the International Conference on Robotics and Automation (ICRA)}, crossref = {p10900}, key = {codyco}, keywords = {constraint optimization, policy search}, 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
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
2013
Rueckert, Elmar; d’Avella, Andrea Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems Proceedings Article In: Abstracts of Neural Control of Movement Conference (NCM), Conference Talk, pp. 27–28, 2013. Links \| BibTeX \| Tags: muscle synergies, policy search, Reinforcement Learning @inproceedings{Rueckert2013, title = {Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems}, author = {Elmar Rueckert and Andrea d'Avella}, url = {https://cps.unileoben.ac.at/wp/Frontiers2013bRueckert.pdf, Article File}, year = {2013}, date = {2013-01-01}, booktitle = {Abstracts of Neural Control of Movement Conference (NCM), Conference Talk}, pages = {27--28}, crossref = {p10682}, keywords = {muscle synergies, policy search, Reinforcement Learning}, pubstate = {published}, tppubtype = {inproceedings} } Close Article File Close