Publications

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2016

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

Learning soft task priorities for control of redundant robots Inproceedings

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

BibTeX | Tags: constraint optimization, policy search | Links:

Learning soft task priorities for control of redundant robots

2014

Rueckert, Elmar

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

Technical University Graz, 2014.

BibTeX | Tags: graphical models, locomotion, model learning, morphological compuation, movement primitives, policy search, postural control, Probabilistic Inference, Reinforcement Learning, RNN, SOC, spiking | Links:

Biologically inspired motor skill learning in robotics through probabilistic inference

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

Robust Policy Updates for Stochastic Optimal Control Inproceedings

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

BibTeX | Tags: policy search, Probabilistic Inference, SOC | Links:

Robust Policy Updates for Stochastic Optimal Control

2013

Rueckert, Elmar; d'Avella, Andrea

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

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

BibTeX | Tags: muscle synergies, policy search, Reinforcement Learning | Links:

Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems
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Journal Articles

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks Journal Article

Neural Networks - Elsevier, 109 , pp. 67-80, 2019, ISBN: 0893-6080, (Impact Factor of 7.197 (2017)).

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Sosic, Adrian; Zoubir, Abdelhak M; Rueckert, Elmar; Peters, Jan; Koeppl, Heinz

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling Journal Article

Journal of Machine Learning Research (JMLR), 19 (69), pp. 1-45, 2018.

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

Probabilistic Movement Primitives under Unknown System Dynamics Journal Article

Advanced Robotics (ARJ), 32 (6), pp. 297-310, 2018.

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Rueckert, Elmar; Camernik, Jernej; Peters, Jan; Babic, Jan

Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control Journal Article

Nature Publishing Group: Scientific Reports, 6 (28455), 2016.

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Rueckert, Elmar; Kappel, David; Tanneberg, Daniel; Pecevski, Dejan; Peters, Jan

Recurrent Spiking Networks Solve Planning Tasks Journal Article

Nature Publishing Group: Scientific Reports, 6 (21142), 2016.

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Rueckert, Elmar; d'Avella, Andrea

Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems Journal Article

Frontiers in Computational Neuroscience, 7 (138), 2013.

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Rueckert, Elmar; Neumann, Gerhard; Toussaint, Marc; Maass, Wolfgang

Learned graphical models for probabilistic planning provide a new class of movement primitives Journal Article

Frontiers in Computational Neuroscience, 6 (97), 2013.

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Rueckert, Elmar; Neumann, Gerhard

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

Artificial Life, 19 (1), 2012.

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Inproceedings

Stark, Svenja; Peters, Jan; Rueckert, Elmar

Experience Reuse with Probabilistic Movement Primitives Inproceedings

Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2019., 2019.

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Boettger, S; Callar, T C; Schweikard, A; Rueckert, E

Medical robotics simulation framework for application-specific optimal kinematics Inproceedings

Current Directions in Biomedical Engineering 2019, pp. 1–5, 2019.

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Rottmann, N; Bruder, R; Schweikard, A; Rueckert, E

Loop Closure Detection in Closed Environments Inproceedings

European Conference on Mobile Robots (ECMR 2019), 2019, ISBN: 978-1-7281-3605-9.

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Rottmann, N; Bruder, R; Schweikard, A; Rueckert, E

Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors Inproceedings

Proceedings of International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), Prague, Czech Republic , 2019, ( February 22-24, 2019).

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Rueckert, Elmar; Jauer, Philipp; Derksen, Alexander; Schweikard, Achim

Dynamic Control Strategies for Cable-Driven Master Slave Robots Inproceedings

Keck, Tobias (Ed.): Proceedings on Minimally Invasive Surgery, Luebeck, Germany, 2019, (January 24-25, 2019).

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Gondaliya, Kaushikkumar D; Peters, Jan; Rueckert, Elmar

Learning to Categorize Bug Reports with LSTM Networks Inproceedings

Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID)., pp. 6, XPS (Xpert Publishing Services), Nice, France, 2018, ISBN: 978-1-61208-671-2, ( October 14-18, 2018).

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

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

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

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Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Efficient Online Adaptation with Stochastic Recurrent Neural Networks Inproceedings

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

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Stark, Svenja; Peters, Jan; Rueckert, Elmar

A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries Inproceedings

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

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Thiem, Simon; Stark, Svenja; Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Simulation of the underactuated Sake Robotics Gripper in V-REP Inproceedings

Workshop at the International Conference on Humanoid Robots (HUMANOIDS), 2017.

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Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Inproceedings

Proceedings of the Conference on Robot Learning (CoRL), 2017.

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

Deep Spiking Networks for Model-based Planning in Humanoids Inproceedings

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

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

Model Estimation and Control of Complaint Contact Normal Force Inproceedings

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

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Kohlschuetter, Jan; Peters, Jan; Rueckert, Elmar

Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities Inproceedings

Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), 2016.

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

Learning soft task priorities for control of redundant robots Inproceedings

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

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Sharma, David; Tanneberg, Daniel; Grosse-Wentrup, Moritz; Peters, Jan; Rueckert, Elmar

Adaptive Training Strategies for BCIs Inproceedings

Cybathlon Symposium, 2016.

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Weber, Paul; Rueckert, Elmar; Calandra, Roberto; Peters, Jan; Beckerle, Philipp

A Low-cost Sensor Glove with Vibrotactile Feedback and Multiple Finger Joint and Hand Motion Sensing for Human-Robot Interaction Inproceedings

Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016.

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

Learning Inverse Dynamics Models with Contacts Inproceedings

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

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

Extracting Low-Dimensional Control Variables for Movement Primitives Inproceedings

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

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

Model-Free Probabilistic Movement Primitives for Physical Interaction Inproceedings

Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), 2015.

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Rueckert, Elmar; Lioutikov, Rudolf; Calandra, Roberto; Schmidt, Marius; Beckerle, Philipp; Peters, Jan

Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations Inproceedings

ICRA 2015 Workshop on Tactile and force sensing for autonomous compliant intelligent robots, 2015.

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

Robust Policy Updates for Stochastic Optimal Control Inproceedings

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 Inproceedings

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

Links | BibTeX

Rueckert, Elmar; Neumann, Gerhard

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

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

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Masters Theses

Rueckert, Elmar

Simultaneous localisation and mapping for mobile robots with recent sensor technologies Masters Thesis

Technical University Graz, 2010.

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PhD Theses

Rueckert, Elmar

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

Technical University Graz, 2014.

Links | BibTeX