Publications

Publication List with Images

2018

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), 2018.

BibTeX | Tags: Natural Language Processing, neural network, RNN | Links:

Learning to Categorize Bug Reports with LSTM Networks

Tanneberg, Daniel; Peters, Jan; Rueckert, Elmar

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

Neural Networks - Elsevier, 2018, (Impact Factor of 7.197 - 2017).

BibTeX | Tags: neural network, Probabilistic Inference, RNN, spiking | Links:

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

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

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

Journal of Machine Learning Research (JMLR), 2018, (RG Impact Factor of 14.03 - 2015).

BibTeX | Tags: movement primitives, Probabilistic Inference, Simulation | Links:

Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling

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.

BibTeX | Tags: inverse dynamics, model learning, movement primitives | Links:

Probabilistic Movement Primitives under Unknown System Dynamics

2017

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.

BibTeX | Tags: inverse dynamics, model learning, RNN | Links:

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

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.

BibTeX | Tags: intrinsic motivation, RNN, spiking | Links:

Efficient Online Adaptation with Stochastic Recurrent Neural Networks

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.

BibTeX | Tags: intrinsic motivation, movement primitives | Links:

A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries

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

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

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

BibTeX | Tags: Manipulation, Simulation | Links:

Simulation of the underactuated Sake Robotics Gripper in V-REP

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.

BibTeX | Tags: intrinsic motivation, RNN, spiking | Links:

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals

2016

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.

BibTeX | Tags: model learning, RNN, spiking | Links:

Deep Spiking Networks for Model-based Planning in Humanoids

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.

BibTeX | Tags: constraint optimization, human motor control, inverse dynamics, model learning | Links:

Model Estimation and Control of Complaint Contact Normal Force

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.

BibTeX | Tags: human motor control, muscle synergies, postural control | Links:

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

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.

BibTeX | Tags: RNN, spiking | Links:

Recurrent Spiking Networks Solve Planning Tasks

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.

BibTeX | Tags: graphical models, muscle synergies | Links:

Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities

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

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

Adaptive Training Strategies for BCIs Inproceedings

Cybathlon Symposium, 2016.

BibTeX | Tags: human motor control, Reinforcement Learning | Links:

Adaptive Training Strategies for BCIs

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.

BibTeX | Tags: graphical models | Links:

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

2015

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.

BibTeX | Tags: inverse dynamics, model learning, neural network | Links:

Learning Inverse Dynamics Models with Contacts

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.

BibTeX | Tags: movement primitives, Probabilistic Inference | Links:

Extracting Low-Dimensional Control Variables for Movement Primitives

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.

BibTeX | Tags: inverse dynamics, movement primitives | Links:

Model-Free Probabilistic Movement Primitives for Physical Interaction

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.

BibTeX | Tags: graphical models | Links:

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

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

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

BibTeX | Tags: locomotion, movement primitives, muscle synergies | Links:

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

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.

BibTeX | Tags: graphical models, movement primitives, Probabilistic Inference | Links:

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

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

2012

Rueckert, Elmar; Neumann, Gerhard

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

Artificial Life, 19 (1), 2012.

BibTeX | Tags: morphological compuation, Probabilistic Inference, SOC | Links:

Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation

2011

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.

BibTeX | Tags: graphical models, morphological compuation, Probabilistic Inference, SOC | Links:

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

2010

Rueckert, Elmar

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

Technical University Graz, 2010.

BibTeX | Tags: Probabilistic Inference | Links:

Simultaneous localisation and mapping for mobile robots with recent sensor technologies
Compact List without Images

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, 2018, (Impact Factor of 7.197 - 2017).

Links | BibTeX

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

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

Journal of Machine Learning Research (JMLR), 2018, (RG Impact Factor of 14.03 - 2015).

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

Rueckert, Elmar; Neumann, Gerhard

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

Artificial Life, 19 (1), 2012.

Links | BibTeX

Conferences

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

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

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

Links | BibTeX

Inproceedings

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), 2018.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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

Adaptive Training Strategies for BCIs Inproceedings

Cybathlon Symposium, 2016.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

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.

Links | BibTeX

Masters Theses

Rueckert, Elmar

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

Technical University Graz, 2010.

Links | BibTeX

PhD Theses

Rueckert, Elmar

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

Technical University Graz, 2014.

Links | BibTeX