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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, 19 (69), pp. 1-45. [Article]

Gondaliya, K.D. and Peters, J. and Rueckert, E. (2018):
Learning to Categorize Bug Reports with LSTM Networks.
The 10th International Conference on Advances in System Testing and Validation Lifecycle (VALID), Nice, France, [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, 32 (6), pp. 297-310. [Article]

Stark, S. and Peters, J. and Rueckert, E. (2017):
A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Efficient Online Adaptation with Stochastic Recurrent Neural Networks.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [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.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Tanneberg, D. and Peters, J. and Rueckert, E. (2017):
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals.
Proceedings of the Conference on Robot Learning (CoRL), [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), [Book Section]

Sharma, D. and Tanneberg, D. and Grosse-Wentrup, M. and Peters, J. and Rueckert, E. (2016):
Adaptive Training Strategies for BCIs.
Cybathlon Symposium, [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.
Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), [Conference or Workshop Item]

Kohlschuetter, J. and Peters, J. and Rueckert, E. (2016):
Learning Probabilistic Features from EMG Data for Predicting Knee Abnormalities.
Proceedings of the XIV Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON), [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),
[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.
ICRA 2015 Workshop “Tactile & force sensing for autonomous, compliant, intelligent robots”, Seattle, Washington, May 2015, [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),
[Conference or Workshop Item]

Rueckert, E. and Mindt, M. and Peters, J. and Neumann, G. (2014):
Robust Policy Updates for Stochastic Optimal Control.
International Conference on Humanoid Robots (HUMANOIDS), Madrid, November 18-20th, 2014, [Conference or Workshop Item]

This list was generated on Sat Apr 17 01:44:52 2021 CEST.