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Number of items: 18.

Šošić, A. and Rueckert, E. and Peters, J. and Zoubir, A. M. and Koeppl, H. (2018):
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.
In: Journal of Machine Learning Research, pp. 1-45, 19, (69), [Online-Edition: http://www.jmlr.org/papers/volume19/18-113/18-113.pdf],
[Article]

Gondaliya, K.D. and Peters, J. and Rueckert, E. (2018):
Learning to Categorize Bug Reports with LSTM Networks.
In: The 10th International Conference on Advances in System Testing and Validation Lifecycle (VALID), Nice, France, [Online-Edition: https://rob.ai-lab.science/wp/VALID2018Gondaliya.pdf],
[Conference or Workshop Item]

Paraschos, A. and Rueckert, E. and Peters, J. and Neumann, G. (2018):
Probabilistic Movement Primitives under Unknown System Dynamics.
In: Advanced Robotics, pp. 297-310, 32, (6), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Alumni/AlexandrosPar...],
[Article]

Stark, S. and Peters, J. and Rueckert, E. (2017):
A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/SvenjaStark/sta...],
[Conference or Workshop Item]

Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Efficient Online Adaptation with Stochastic Recurrent Neural Networks.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DanielTanneberg...],
[Conference or Workshop Item]

Rueckert, E. and Nakatenus, M. and Tosatto, S. and Peters, J. (2017):
Learning Inverse Dynamics Models in O(n) time with LSTM networks.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: https://rueckert.lima-city.de/papers/Humanoids2017Rueckert.p...],
[Conference or Workshop Item]

Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.
In: Proceedings of the Conference on Robot Learning (CoRL), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DanielTanneberg...],
[Conference or Workshop Item]

Thiem, S. and Stark, S. and Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Simulation of the underactuated Sake Robotics Gripper in V-REP.
In: Workshop at the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/PubElmarRuecker...],
[Book Section]

Sharma, D. and Tanneberg, D. and Grosse-Wentrup, M. and Peters, J. and Rueckert, E. (2016):
Adaptive Training Strategies for BCIs.
In: Cybathlon Symposium, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/ElmarR%c3%bccke...],
[Conference or Workshop Item]

Tanneberg, D. and Paraschos, A. and Peters, J. and Rueckert, E. (2016):
Deep Spiking Networks for Model-based Planning in Humanoids.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/DanielTanneberg...],
[Conference or Workshop Item]

Kohlschuetter, J. and Peters, J. and Rueckert, E. (2016):
Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities.
In: Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Site/EditPublication...],
[Conference or Workshop Item]

Modugno, V. and Neumann, G. and Rueckert, E. and Oriolo, G. and Peters, J. and Ivaldi, S. (2016):
Learning soft task priorities for control of redundant robots.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Azad, M. and Ortenzi, V. and Lin, C. and Rueckert, E. and Mistry, M. (2016):
Model Estimation and Control of Complaint Contact Normal Force.
In: Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Online-Edition: https://rueckert.lima-city.de/papers/Humanoids2016Azad.pdf],
[Conference or Workshop Item]

Rueckert, E. and Mundo, J. and Paraschos, A. and Peters, J. and Neumann, G. (2015):
Extracting Low-Dimensional Control Variables for Movement Primitives.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Calandra, R. and Ivaldi, S. and Deisenroth, M. and Rueckert, E. and Peters, J. (2015):
Learning Inverse Dynamics Models with Contacts.
In: Proceedings of the International Conference on Robotics and Automation (ICRA), [Conference or Workshop Item]

Rueckert, E. and Lioutikov, R. and Calandra, R. and Schmidt, M. and Beckerle, Philipp and Peters, J. (2015):
Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations.
In: ICRA 2015 Workshop “Tactile & force sensing for autonomous, compliant, intelligent robots”, Seattle, Washington, May 2015, [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Workshops/ICRA2015Ta...],
[Conference or Workshop Item]

Paraschos, A. and Rueckert, E. and Peters, J and Neumann, G. (2015):
Model-Free Probabilistic Movement Primitives for Physical Interaction.
In: Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), [Online-Edition: http://www.ausy.tu-darmstadt.de/uploads/Team/PubAlexParascho...],
[Conference or Workshop Item]

Rueckert, E. and Mindt, M. and Peters, J. and Neumann, G. (2014):
Robust Policy Updates for Stochastic Optimal Control.
In: International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Online-Edition: http://www.ias.informatik.tu-darmstadt.de/uploads/Site/EditP...],
[Conference or Workshop Item]

This list was generated on Sat Jun 15 00:53:13 2019 CEST.