Past News Main
Past News: Before we moved our news to twitter...
2019
- New conference papers:
- Lutter, M.; Peters, J. (2019). Deep Lagrangian Networks for end-to-end learning of energy-based control for under-actuated systems, International Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Celik, O.; Abdulsamad, H.; Peters, J. (2019). Chance-Constrained Trajectory Optimization for Nonlinear Systems with Unknown Stochastic Dynamics, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Nass, D.; Belousov, B.; Peters, J. (2019). Entropic Risk Measure in Policy Search, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Koert, D.; Pajarinen, J.; Schotschneider, A.; Trick, S., Rothkopf, C.; Peters, J. (2019). Learning Intention Aware Online Adaptation of Movement Primitives, IEEE Robotics and Automation Letters (RA-L), with presentation at the IEEE International Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Trick, S.; Koert, D.; Peters, J.; Rothkopf, C. (2019). Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Stark, S.; Peters, J.; Rueckert, E. (2019). Experience Reuse with Probabilistic Movement Primitives, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Liu, Z.; Hitzmann, A.; Ikemoto, S.; Stark, S.; Peters, J.; Hosoda, K. (2019). Local Online Motor Babbling: Learning Motor Abundance of a Musculoskeletal Robot Arm, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Akrour, R.; Pajarinen, J.; Neumann, G.; Peters, J. (2019). Projections for Approximate Policy Iteration Algorithms, Proceedings of the International Conference on Machine Learning (ICML). Download Article BibTeX Reference
- Tosatto, S.; D'Eramo, C.; Pajarinen, J.; Restelli, M.; Peters, J. (2019). Exploration Driven By an Optimistic Bellman Equation, Proceedings of the International Joint Conference on Neural Networks (IJCNN). Download Article BibTeX Reference
- Lutter, M.; Ritter, C.; Peters, J. (2019). Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning, International Conference on Learning Representations (ICLR). Download Article BibTeX Reference
- Lauri, M.; Pajarinen, J.; Peters, J. (2019). Information gathering in decentralized POMDPs by policy graph improvement, Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS). Download Article BibTeX Reference
- Wibranek, B.; Belousov, B.; Sadybakasov, A.; Tessmann, O. (2019). Interactive Assemblies: Man-Machine Collaboration through Building Components for As-Built Digital Models, Computer-Aided Architectural Design Futures (CAAD Futures). Download Article BibTeX Reference
- New blog post on quantifying the transferability of sim-to-real control policies at sim2realai.github.io.
- Jan Peters was appointed Fellow by the IEEE.
- Best Paper Award at the International Conference on Advances in System Testing and Validation for M.Sc. student K.D. Gondaliya, Elmar Rueckert and Jan Peters.
- New Journal papers:
- Pajarinen, J.; Thai, H.L.; Akrour, R.; Peters, J.; Neumann, G. (2019). Compatible natural gradient policy search, Machine Learning (MLJ), 108, 8, pp.1443--1466, Springer. Download Article BibTeX Reference
- Belousov, B.; Peters, J. (2019). Entropic Regularization of Markov Decision Processes, Entropy, 21, 7, MDPI. Download Article BibTeX Reference
- Parisi, S.; Tangkaratt, V.; Peters, J.; Khan, M. E. (2019). TD-Regularized Actor-Critic Methods, Machine Learning (MLJ), 108, 8, pp.1467-1501. Download Article BibTeX Reference
- Tanneberg, D.; Peters, J.; Rueckert, E. (2019). Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks, Neural Networks, 109, pp.67-80. Download Article BibTeX Reference
- Koc, O.; Peters, J. (2019). Learning to serve: an experimental study for a new learning from demonstrations framework, IEEE Robotics and Automation Letters (ICRA/RA-L), with Presentation at the IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Vinogradska, J.; Bischoff, B.; Koller, T.; Achterhold, J.; Peters, J. (2020). Numerical Quadrature for Probabilistic Policy Search, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 42, 1, pp.164-175. Download Article BibTeX Reference
- Brandherm, F.; Peters, J.; Neumann, G.; Akrour, R. (2019). Learning Replanning Policies with Direct Policy Search, IEEE Robotics and Automation Letters (RA-L). Download Article BibTeX Reference
2018
- New HUMANOIDS papers:
- Koert, D.; Trick, S.; Ewerton, M.; Lutter, M.; Peters, J. (2018). Online Learning of an Open-Ended Skill Library for Collaborative Tasks, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
- Hoelscher, J.; Koert, D.; Peters, J.; Pajarinen, J. (2018). Utilizing Human Feedback in POMDP Execution and Specification, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
- New CoRL paper:
- Muratore, F.; Treede, F.; Gienger, M.; Peters, J. (2018). Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment, Conference on Robot Learning (CoRL). Download Article BibTeX Reference
- New IROS paper:
- Akrour, R.; Veiga, F.; Peters, J.; Neumann, G. (2018). Regularizing Reinforcement Learning with State Abstraction, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- New Journal Papers:
- Akrour, R.; Abdolmaleki, A.; Abdulsamad, H.; Peters, J.; Neumann, G. (2018). Model-Free Trajectory-based Policy Optimization with Monotonic Improvement, Journal of Machine Learning Research (JMLR). Download Article BibTeX Reference
- Ewerton, M.; Rother, D.; Weimar, J.; Kollegger, G.; Wiemeyer, J.; Peters, J.; Maeda, G. (2018). Assisting Movement Training and Execution with Visual and Haptic Feedback, Frontiers in Neurorobotics. Download Article BibTeX Reference
- Koc, O.; Maeda, G.; Peters, J. (2018). Online optimal trajectory generation for robot table tennis, Robotics and Autonomous Systems (RAS). Download Article BibTeX Reference
- New ICML papers:
- Parmas, P.; Doya, K.; Rasmussen, C.; Peters, J. (2018). PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos, Proceedings of the International Conference on Machine Learning (ICML). BibTeX Reference
- Arenz, O.; Zhong, M.; Neumann, G. (2018). Efficient Gradient-Free Variational Inference using Policy Search, in: Dy, Jennifer and Krause, Andreas (eds.), Proceedings of the International Conference on Machine Learning (ICML), 80, pp.234--243, PMLR. Download Article BibTeX Reference
- New ICRA papers:
- Gebhardt, G.H.W.; Daun, K.; Schnaubelt, M.; Neumann, G. (2018). Learning Robust Policies for Object Manipulation with Robot Swarms, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Pinsler, R.; Akrour, R.; Osa, T.; Peters, J.; Neumann, G. (2018). Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Lioutikov, R.; Maeda, G.; Veiga, F.F.; Kersting, K.; Peters, J. (2018). Inducing Probabilistic Context-Free Grammars for the Sequencing of Robot Movement Primitives, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Koert, D.; Maeda, G.; Neumann, G.; Peters, J. (2018). Learning Coupled Forward-Inverse Models with Combined Prediction Errors, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Julia Vinogradska will receive the Best Junior Scientist Award of the Stiftung Werner-von-Siemens-Ring
2017
- Daniel Tanneberg received the Hanns-Voith-Stiftungspreis Award 2017 for his master thesis.
- new HUMANOIDS Papers:
- Tanneberg, D.; Peters, J.; Rueckert, E. (2017). Efficient Online Adaptation with Stochastic Recurrent Neural Networks, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
- Stark, S.; Peters, J.; Rueckert, E. (2017). A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
- New CoRL Papers:
- Maeda, G.; Ewerton, M.; Osa, T.; Busch, B.; Peters, J. (2017). Active Incremental Learning of Robot Movement Primitives, Proceedings of the Conference on Robot Learning (CoRL). Download Article BibTeX Reference
- Tanneberg, D.; Peters, J.; Rueckert, E. (2017). Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals, Proceedings of the Conference on Robot Learning (CoRL). Download Article BibTeX Reference
- New Journal Papers:
- Kroemer, O.; Leischnig, S.; Luettgen, S.; Peters, J. (2018). A Kernel-based Approach to Learning Contact Distributions for Robot Manipulation Tasks, Autonomous Robots (AURO), 42, 3, pp.581-600. Download Article BibTeX Reference
- Paraschos, A.; Daniel, C.; Peters, J.; Neumann, G. (2018). Using Probabilistic Movement Primitives in Robotics, Autonomous Robots (AURO), 42, 3, pp.529-551. Download Article BibTeX Reference
- Lioutikov, R.; Neumann, G.; Maeda, G.; Peters, J. (2017). Learning Movement Primitive Libraries through Probabilistic Segmentation, International Journal of Robotics Research (IJRR), 36, 8, pp.879-894. Download Article BibTeX Reference
- Maeda, G.; Ewerton, M.; Neumann, G.; Lioutikov, R.; Peters, J. (2017). Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration, International Journal of Robotics Research (IJRR), 36, 13-14, pp.1579-1594. Download Article BibTeX Reference
- van Hoof, H.; Neumann, G.; Peters, J. (2017). Non-parametric Policy Search with Limited Information Loss, Journal of Machine Learning Research (JMLR), 18, 73, pp.1-46. Download Article BibTeX Reference
- van Hoof, H.; Tanneberg, D.; Peters, J. (2017). Generalized Exploration in Policy Search, Machine Learning (MLJ), 106, 9-10, pp.1705-1724. Download Article BibTeX Reference
- New IROS papers accepted:
- Paraschos, A.; Lioutikov, R.; Peters, J.; Neumann, G. (2017). Probabilistic Prioritization of Movement Primitives, Proceedings of the International Conference on Intelligent Robot Systems, and IEEE Robotics and Automation Letters (RA-L). Download Article BibTeX Reference
- Parisi, S.; Ramstedt, S.; Peters, J. (2017). Goal-Driven Dimensionality Reduction for Reinforcement Learning, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Busch, B.; Maeda, G.; Mollard, Y.; Demangeat, M.; Lopes, M. (2017). Postural Optimization for an Ergonomic Human-Robot Interaction, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). BibTeX Reference
- Pajarinen, J.; Kyrki, V.; Koval, M.; Srinivasa, S; Peters, J.; Neumann, G. (2017). Hybrid Control Trajectory Optimization under Uncertainty, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- New ICML paper accepted: Akrour, R.; Sorokin, D.; Peters, J.; Neumann, G. (2017). Local Bayesian Optimization of Motor Skills, Proceedings of the International Conference on Machine Learning (ICML). Download Article BibTeX Reference
- JMLR review paper accepted! Wirth, C.; Akrour, R.; Fürnkranz, J.; Neumann G. (2017). A Survey of Preference-Based Reinforcement Learning Methods, Journal of Machine Learning Research (JMLR). Download Article BibTeX Reference
- New IJCAI paper: Abdolmaleki, A.; Price, B.; Lau, N.; Reis, P.; Neumann, G. (2017). Contextual CMA-ES, International Joint Conference on Artificial Intelligence (IJCAI). Download Article BibTeX Reference
- Our new GECCO paper: Abdolmaleki, A.; Price, B.; Neumann, G. (2017). Deriving and Improving CMA-ES with Information Geometric Trust Regions, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO). Download Article BibTeX Reference is best paper finalist for the evolutionary numerical optimization track. Lets keep the fingers crossed!
- We were on German TV.
- Jan Peters is going to be program co-chair of the IEEE RAS Conference in Humanoid Robotics (HUMANOIDS) 2017.
- New ICAPS 2017 paper accepted: Abdulsamad, H.; Arenz, O.; Peters, J.; Neumann, G. (2017). State-Regularized Policy Search for Linearized Dynamical Systems, Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS). Download Article BibTeX Reference
- Gerhard Neumann and Jan Peters will give a tutorial about Policy Search Methods in Robotics at AAMAS 2017.
- Jan Peters will be Area Chair at the International Conference in Machine Learning (ICML 2017).
- New ICRA 2017 papers accepted:
- Farraj, F. B.; Osa, T.; Pedemonte, N.; Peters, J.; Neumann, G.; Giordano, P.R. (2017). A Learning-based Shared Control Architecture for Interactive Task Execution, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Wilbers, D.; Lioutikov, R.; Peters, J. (2017). Context-Driven Movement Primitive Adaptation, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- End, F.; Akrour, R.; Peters, J.; Neumann, G. (2017). Layered Direct Policy Search for Learning Hierarchical Skills, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Gabriel, A.; Akrour, R.; Peters, J.; Neumann, G. (2017). Empowered Skills, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- New IJRR 2017 paper: Maeda, G.; Ewerton, M.; Neumann, G.; Lioutikov, R.; Peters, J. (2017). Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration, International Journal of Robotics Research (IJRR), 36, 13-14, pp.1579-1594. Download Article BibTeX Reference
- New AAAI-2017 papers: Tangkaratt, V.; van Hoof, H.; Parisi, S.; Neumann, G.; Peters, J.; Sugiyama, M. (2017). Policy Search with High-Dimensional Context Variables, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). Download Article BibTeX Reference
Gebhardt, G.H.W.; Kupcsik, A.; Neumann, G. (2019). The Kernel Kalman Rule, Machine Learning Journal (MLJ), 108, 12, pp.2113–2157, Springer US.
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Gebhardt, G.H.W.; Kupcsik, A.G.; Neumann, G. (2017). The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares, Proceedings of the National Conference on Artificial Intelligence (AAAI).
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- Our undergraduate student Karl-Heinz Fiebig won the IEEE Brain Initiative Best Paper Award for the paper Fiebig, K.-H. (2017). Multi-Task Logistic Regression in Brain-Computer Interfaces, Bachelor Thesis.
BibTeX Reference
Fiebig, K.-H.; Jayaram, V.; Peters, J.; Grosse-Wentrup, M. (2016). Multi-Task Logistic Regression in Brain-Computer Interfaces, IEEE SMC 2016 — 6th Workshop on Brain-Machine Interface Systems. Download Article BibTeX Reference . Congratulations! - Jan Peters was invited for a talk at the 3rd Multidisciplinary Conference on ReinforcementLearning and Decision Making (RLDM2017).
2016
- Our cybathlon team was on SAT1, one of Germany's main TV channels, see video!
- Herke van Hoof is co-organizaing an R:SS 2016 workshop on Robot-Environment Interaction for Perception and Manipulation, together with Karol Hausman, Nikolay Atanasov, Roberto Martin Martin and Oliver Brock.
- Guilherme Maeda and Luka Peternel (IIT) are the main organizers of a workshop at IROS 2016 on Co-adaptation and Learning in Human-Robot Collaboration
- New ICML papers:
- Vinogradska, J.; Bischoff, B.; Nguyen-Tuong, D.; Peters, J. (2017). Stability of Controllers for Gaussian Process Forward Models, Journal of Machine Learning Research (JMLR), 18, 100, pp.1-37.
Download Article BibTeX Reference
Vinogradska, J.; Bischoff, B.; Nguyen-Tuong, D.; Romer, A.; Schmidt, H.; Peters, J. (2016). Stability of Controllers for Gaussian Process Forward Models, Proceedings of the International Conference on Machine Learning (ICML). Download Article BibTeX Reference - Akrour, R.; Abdolmaleki, A.; Abdulsamad, H.; Neumann, G. (2016). Model-Free Trajectory Optimization for Reinforcement Learning, Proceedings of the International Conference on Machine Learning (ICML). Download Article BibTeX Reference
- Jan Peters has been invited as keynote speaker for the 11th Joint Conference on Motor Control & Learning, Biomechanics & Training, Sensing: From Mind to Machines and the International Conference on Artificial Intelligence Applications and Innovations (AIAI 2016).
- Four ICRA 2016 papers accepted:
- Buechler, D.; Ott, H.; Peters, J. (2016). A Lightweight Robotic Arm with Pneumatic Muscles for Robot Learning, Proceedings of the International Conference on Robotics and Automation (ICRA). BibTeX Reference
- Ewerton, M.; Maeda, G.; Neumann, G.; Kisner, V.; Kollegger, G.; Wiemeyer, J.; Peters, J. (2016). Movement Primitives with Multiple Phase Parameters, Proceedings of the International Conference on Robotics and Automation (ICRA), pp.201--206. Download Article BibTeX Reference
- Modugno, V.; Neumann, G.; Rueckert, E.; Oriolo, G.; Peters, J.; Ivaldi, S. (2016). Learning soft task priorities for control of redundant robots, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Jan Peters will be Area Chair at the Robotics: Science and Systems (R:SS 2016).
- New ADPRL 2016 paper: Parisi, S; Blank, A; Viernickel T; Peters, J (2016). Local-utopia Policy Selection for Multi-objective Reinforcement Learning, Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL). Download Article BibTeX Reference
- New NIPS 2016 paper: Belousov, B.; Neumann, G.; Rothkopf, C.A.; Peters, J. (2017). Catching heuristics are optimal control policies, Proceedings of the Karniel Thirteenth Computational Motor Control Workshop.
Download Article BibTeX Reference
Belousov, B.; Neumann, G.; Rothkopf, C.; Peters, J. (2016). Catching heuristics are optimal control policies, Advances in Neural Information Processing Systems (NIPS / NeurIPS). Download Article BibTeX Reference - Christian Daniel received the Best Student Paper Award at ECMLPKDD 2016 for his paper Daniel, C.; van Hoof, H.; Peters, J.; Neumann, G. (2016). Probabilistic Inference for Determining Options in Reinforcement Learning, Machine Learning (MLJ), 104, 2-3, pp.337-357. Download Article BibTeX Reference in the MLJ track.
- Five new HUMANOIDS papers:
Ewerton, M.; Maeda, G.J.; Kollegger, G.; Wiemeyer, J.; Peters, J. (2016). Incremental Imitation Learning of Context-Dependent Motor Skills, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), pp.351--358.
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Gomez-Gonzalez, S.; Neumann, G.; Schoelkopf, B.; Peters, J. (2016). Using Probabilistic Movement Primitives for Striking Movements, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
BibTeX Reference
Huang, Y.; Buechler, D.; Koc, O.; Schoelkopf, B.; Peters, J. (2016). Jointly Learning Trajectory Generation and Hitting Point Prediction in Robot Table Tennis, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
BibTeX Reference
Koert, D.; Maeda, G.J.; Lioutikov, R.; Neumann, G.; Peters, J. (2016). Demonstration Based Trajectory Optimization for Generalizable Robot Motions, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
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Tanneberg, D.; Paraschos, A.; Peters, J.; Rueckert, E. (2016). Deep Spiking Networks for Model-based Planning in Humanoids, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
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- Roberto Calandra is co-organizing a NIPS 2016 workshop on Bayesian Optimization, together with Bobak Shahriari, Javier Gonzalez, Frank Hutter and Ryan P. Adams.
- Five new IROS papers:
- Arenz, O.; Abdulsamad, H.; Neumann, G. (2016). Optimal Control and Inverse Optimal Control by Distribution Matching, Proceedings of the International Conference on Intelligent Robots and Systems (IROS), IEEE. Download Article BibTeX Reference
- Koc, O.; Peters, J.; Maeda, G. (2016). A New Trajectory Generation Framework in Robotic Table Tennis, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). BibTeX Reference
- Manschitz, S.; Gienger, M.; Kober, J.; Peters, J. (2016). Probabilistic Decomposition of Sequential Force Interaction Tasks into Movement Primitives, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- van Hoof, H.; Chen, N.; Karl, M.; van der Smagt, P.; Peters, J. (2016). Stable Reinforcement Learning with Autoencoders for Tactile and Visual Data, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Yi, Z.; Calandra, R.; Veiga, F.; van Hoof, H.; Hermans, T.; Zhang, Y.; Peters, J. (2016). Active Tactile Object Exploration with Gaussian Processes, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- New journal papers:
- Parisi, S.; Pirotta, M.; Peters, J. (2017). Manifold-based Multi-objective Policy Search with Sample Reuse, Neurocomputing, 263, pp.3-14. Download Article BibTeX Reference
- Rueckert, E.; Camernik, J.; Peters, J.; Babic, J. (2016). Probabilistic Movement Models Show that Postural Control Precedes and Predicts Volitional Motor Control, Nature PG: Scientific Reports, 6, 28455. Download Article BibTeX Reference
- Rueckert, E.; Kappel, D.; Tanneberg, D.; Pecevski, D; Peters, J. (2016). Recurrent Spiking Networks Solve Planning Tasks, Nature PG: Scientific Reports, 6, 21142, Nature Publishing Group. Download Article BibTeX Reference
- Maeda, G.; Neumann, G.; Ewerton, M.; Lioutikov, R.; Kroemer, O.; Peters, J. (2017). Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks, Autonomous Robots (AURO), 41, 3, pp.593-612. Download Article BibTeX Reference
- Maeda, G.; Ewerton, M.; Koert, D; Peters, J. (2016). Acquiring and Generalizing the Embodiment Mapping from Human Observations to Robot Skills, IEEE Robotics and Automation Letters (RA-L), 1, 2, pp.784--791. Download Article BibTeX Reference
- Daniel, C.; Neumann, G.; Kroemer, O.; Peters, J. (2016). Hierarchical Relative Entropy Policy Search, Journal of Machine Learning Research (JMLR), 17, pp.1-50. Download Article BibTeX Reference
2015
- Jan Peters has been awarded an ERC Starting Grant.
- Tucker Hermans will become Assistant Professor at University of Utah, Abdeslam Boularias will become Assistant Professor at Rutgers University, and Heni Ben Amor will become Assistant Professor at Arizona State University. Congrats to all three of them!
- Katharina Muelling receives the Award for Excellent Scientific Achievement of the TU Darmstadt Alumni Association!
- Simon Manschitz will receive the Odenwald 2015 award for his research.
- Oliver Kroemer was Runner Up for the 2015 Georges Giralt Award (Best European Robotics Ph.D. Thesis Award).
- Christoph Dann (former IAS Master's student and current CMU Ph.D. student) has won the 2015 Datenlotsen Award for the best IT master's thesis at TU Darmstadt! More on him here!
- Jan Peters has been invited as keynote speaker for the 2015 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2015) and the PRASA-RobMech International Conference.
- New journal papers:
- Daniel, C.; Kroemer, O.; Viering, M.; Metz, J.; Peters, J. (2015). Active Reward Learning with a Novel Acquisition Function, Autonomous Robots (AURO), 39, pp.389-405. Download Article BibTeX Reference
- Manschitz, S.; Kober, J.; Gienger, M.; Peters, J. (2015). Learning Movement Primitive Attractor Goals and Sequential Skills from Kinesthetic Demonstrations, Robotics and Autonomous Systems, 74, pp.97-107. Download Article BibTeX Reference
- Maeda, G.; Neumann, G.; Ewerton, M.; Lioutikov, R.; Peters, J. (2015). A Probabilistic Framework for Semi-Autonomous Robots Based on Interaction Primitives with Phase Estimation, Proceedings of the International Symposium of Robotics Research (ISRR). Download Article BibTeX Reference
- Jan Peters will be Area Chair at the Robotics: Science and Systems (R:SS 2015).
- Jan Peters will be Editor and Workshop-Chair at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015).
- Four ICRA 2015 papers accepted:
- Calandra, R.; Ivaldi, S.; Deisenroth, M.;Rueckert, E.; Peters, J. (2015). Learning Inverse Dynamics Models with Contacts, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Ewerton, M.; Neumann, G.; Lioutikov, R.; Ben Amor, H.; Peters, J.; Maeda, G. (2015). Learning Multiple Collaborative Tasks with a Mixture of Interaction Primitives, Proceedings of the International Conference on Robotics and Automation (ICRA), pp.1535--1542. Download Article BibTeX Reference
- Kroemer, O.; Daniel, C.; Neumann, G; van Hoof, H.; Peters, J. (2015). Towards Learning Hierarchical Skills for Multi-Phase Manipulation Tasks, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Rueckert, E.; Mundo, J.; Paraschos, A.; Peters, J.; Neumann, G. (2015). Extracting Low-Dimensional Control Variables for Movement Primitives, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- New IROS 2015 papers accepted:
- Ewerton, M.; Maeda, G.J.; Peters, J.; Neumann, G. (2015). Learning Motor Skills from Partially Observed Movements Executed at Different Speeds, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS), pp.456--463. Download Article BibTeX Reference
- Huang, Y.; Schoelkopf, B.; Peters, J. (2015). Learning Optimal Striking Points for A Ping-Pong Playing Robot, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Manschitz, S.; Kober, J.; Gienger, M.; Peters, J. (2015). Probabilistic Progress Prediction and Sequencing of Concurrent Movement Primitives, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Paraschos, A.; Rueckert, E.; Peters, J; Neumann, G. (2015). Model-Free Probabilistic Movement Primitives for Physical Interaction, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Parisi, S.; Abdulsamad, H.; Paraschos, A.; Daniel, C.; Peters, J. (2015). Reinforcement Learning vs Human Programming in Tetherball Robot Games, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Veiga, F.F.; van Hoof, H.; Peters, J.; Hermans, T. (2015). Stabilizing Novel Objects by Learning to Predict Tactile Slip, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Wahrburg, A.; Zeiss, S.; Matthias, B.; Peters, J.; Ding, H. (2015). Combined Pose-Wrench and State Machine Representation for Modeling Robotic Assembly Skills, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Tucker Hermans is co-organizing a workshop at RSS 2015 with Patrick van der Smagt and Heni Ben Amor on Visual and Tactile Learning
- New AAAI paper: Wirth, C.; Fürnkranz, J.; Neumann G. (2015). Model-Free Preference-Based Reinforcement Learning, Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15). Download Article BibTeX Reference
- Herke van Hoof got a new paper accepted: van Hoof, H.; Peters, J.; Neumann, G. (2015). Learning of Non-Parametric Control Policies with High-Dimensional State Features, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS). Download Article BibTeX Reference
- New NIPS paper: Abdolmaleki, A.; Lioutikov, R.; Peters, J; Lau, N.; Reis, L.; Neumann, G. (2015). Model-Based Relative Entropy Stochastic Search, Advances in Neural Information Processing Systems (NIPS / NeurIPS), MIT Press. Download Article BibTeX Reference
- Six new HUMANOIDS 2015 papers accepted. Highlighted:
- Calandra, R.; Ivaldi, S.; Deisenroth, M.; Peters, J. (2015). Learning Torque Control in Presence of Contacts using Tactile Sensing from Robot Skin, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
- Hoelscher, J.; Peters, J.; Hermans, T. (2015). Evaluation of Interactive Object Recognition with Tactile Sensing, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
- van Hoof, H.; Hermans, T.; Neumann, G.; Peters, J. (2015). Learning Robot In-Hand Manipulation with Tactile Features, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
2014
- WIRED Magazine (German edition) visited us and wrote a piece on us... and our university newspaper Hoch3 did the same.
- Five HUMANOIDS 2014 papers accepted:
- Brandl, S.; Kroemer, O.; Peters, J. (2014). Generalizing Pouring Actions Between Objects using Warped Parameters, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
- Colome, A.; Neumann, G.; Peters, J.; Torras, C. (2014). Dimensionality Reduction for Probabilistic Movement Primitives, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
- Ivaldi, S.; Peters, J.; Padois, V.; Nori, F. (2014). Tools for simulating humanoid robot dynamics: a survey based on user feedback, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
- Maeda, G.J.; Ewerton, M.; Lioutikov, R.; Amor, H.B.; Peters, J.; Neumann, G. (2014). Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), pp.527--534. Download Article BibTeX Reference
- Rueckert, E.; Mindt, M.; Peters, J.; Neumann, G. (2014). Robust Policy Updates for Stochastic Optimal Control, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
- Herke van Hoof, Johannes Kulick, Marc Toussaint and Jan Peters will organize a Workshop on Active Learning in Robotics: Exploration Strategies in Complex Environments at the IEEE-RAS International Conference on Humanoid Robots (Humanoids 2014).
- Gerhard Neumann will co-organize a Workshop with Heni Ben Amor and Neil Dantam on Policy Representations for Humanoid Robots at the IEEE-RAS International Conference on Humanoid Robots (Humanoids 2014).
- Gerhard Neumann will organize a NIPS worskhop on Autonomously Learning Robots.
- Gerhard Neumann will be promoted to Assistant Professor at TU Darmstadt and will turn down a competing Assistant Professorship offer of Kassel University.
- several cool journal papers have been accepted:
- Wang, Z.; Boularias, A.; Muelling, K.; Schoelkopf, B.; Peters, J. (2017). Anticipatory Action Selection for Human-Robot Table Tennis, Artificial Intelligence, 247, pp.399-414. Download Article BibTeX Reference
- Kupcsik, A.G.; Deisenroth, M.P.; Peters, J.; Ai Poh, L.; Vadakkepat, V.; Neumann, G. (2017). Model-based Contextual Policy Search for Data-Efficient Generalization of Robot Skills, Artificial Intelligence, 247, pp.415-439. Download Article BibTeX Reference
- Dann, C.; Neumann, G.; Peters, J. (2015). Policy Evaluation with Temporal Differences: A Survey and Comparison, Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling (ICAPS), pp.359-360.
BibTeX Reference
Dann, C.; Neumann, G.; Peters, J. (2014). Policy Evaluation with Temporal Differences: A Survey and Comparison, Journal of Machine Learning Research (JMLR), 15, March, pp.809-883. Download Article BibTeX Reference - Meyer, T.; Peters, J.; Zander, T.O.; Schoelkopf, B.; Grosse-Wentrup, M. (2014). Predicting Motor Learning Performance from Electroencephalographic Data, Journal of Neuroengineering and Rehabilitation, 11, 1. Download Article BibTeX Reference
- Muelling, K.; Boularias, A.; Schoelkopf, B.; Peters, J. (2014). Learning Strategies in Table Tennis using Inverse Reinforcement Learning, Biological Cybernetics, 108, 5, pp.603-619. BibTeX Reference
- Neumann, G.; Daniel, C.; Paraschos, A.; Kupcsik, A.; Peters, J. (2014). Learning Modular Policies for Robotics, Frontiers in Computational Neuroscience. Download Article BibTeX Reference
- Wierstra, D.; Schaul, T.; Glasmachers, T.; Sun, Y.; Peters, J.; Schmidhuber, J. (2014). Natural Evolution Strategies, Journal of Machine Learning Research (JMLR), 15, March, pp.949-980. Download Article BibTeX Reference
- Lioutikov, R.; Paraschos, A.; Peters, J.; Neumann, G. (2014). Generalizing Movements with Information Theoretic Stochastic Optimal Control, Journal of Aerospace Information Systems, 11, 9, pp.579-595. Download Article BibTeX Reference
- Jan Peters will be session keynote plenary speaker at the International Conference on Intelligent Robots and Systems (IROS 2014).
- We have received the ICRA 2014 Best Cognitive Robotics Paper Award for Deisenroth, M.P.; Englert, P.; Peters, J.; Fox, D. (2014). Multi-Task Policy Search for Robotics, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference and have been finalists for the same award with our paper Kroemer, O.; van Hoof, H.; Neumann, G.; Peters, J. (2014). Learning to Predict Phases of Manipulation Tasks as Hidden States, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Jan Peters will be invited speaker at the International Conference on Intelligent Autonomous Systems (IAS 2014) and the IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2014).
- Christian Daniel got his active reward learning paper into Robotics: Science & Systems. Well done! For more information read: Daniel, C.; Kroemer, O.; Viering, M.; Metz, J.; Peters, J. (2015). Active Reward Learning with a Novel Acquisition Function, Autonomous Robots (AURO), 39, pp.389-405.
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Daniel, C.; Viering, M.; Metz, J.; Kroemer, O.; Peters, J. (2014). Active Reward Learning, Proceedings of Robotics: Science & Systems (R:SS). Download Article BibTeX Reference - Four IROS 2014 papers have been accepted (100% acceptance rate for our team):
- Chebotar, Y.; Kroemer, O.; Peters, J. (2014). Learning Robot Tactile Sensing for Object Manipulation, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Kroemer, O.; Peters, J. (2014). Predicting Object Interactions from Contact Distributions, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Luck, K.S.; Neumann, G.; Berger, E.; Peters, J.; Ben Amor, H. (2014). Latent Space Policy Search for Robotics, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Manschitz, S.; Kober, J.; Gienger, M.; Peters, J. (2014). Learning to Sequence Movement Primitives from Demonstrations, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
- Jan Peters will be Area Chair at Advances in Neural Information Processing Systems (NIPS 2014).
- Six ICRA 2014 papers accepted (100% acceptance rate for our team):
- Kroemer, O.; van Hoof, H.; Neumann, G.; Peters, J. (2014). Learning to Predict Phases of Manipulation Tasks as Hidden States, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Ben Amor, H.; Neumann, G.; Kamthe, S.; Kroemer, O.; Peters, J. (2014). Interaction Primitives for Human-Robot Cooperation Tasks , Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Calandra, R.; Seyfarth, A.; Peters, J.; Deisenroth, M.P. (2014). An Experimental Comparison of Bayesian Optimization for Bipedal Locomotion, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Deisenroth, M.P.; Englert, P.; Peters, J.; Fox, D. (2014). Multi-Task Policy Search for Robotics, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Lioutikov, R.; Paraschos, A.; Peters, J.; Neumann, G. (2014). Sample-Based Information-Theoretic Stochastic Optimal Control, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Bischoff, B.; Nguyen-Tuong, D.; van Hoof, H. McHutchon, A.; Rasmussen, C.E.; Knoll, A.; Peters, J.; Deisenroth, M.P. (2014). Policy Search For Learning Robot Control Using Sparse Data, Proceedings of 2014 IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference .
- Jan Peters will be Editor at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014)
- Jan Peters will be Area Chair at the Seventeenth International Conference on Artificial Intelligence and Statistics (AIStats 2014).
2013
- Jan Peters picked up the IEEE Robotics & Automation Society's 2013 Early Career Award at ICRA 2013 at Karlsruhe. See also the Max Planck Press Release and the TU Darmstadt News.
- Jens Kober has won the Georges Giralt PhD Award for the best Robotics PhD thesis in Europe in 2013.
- Christian Daniel wins the Datenlotsenpreis 2013 for the best Master's thesis in Computer Science at TU Darmstadt.
- Jan Peters will receive the 2013 Young Investigator Award of the International Neural Network Society (INNS). See also the Max Planck Press Release.
- Success at NIPS 2013: Knaust, M.; Koert, D. (2021). Guided Robot Skill Learning: A User-Study on Learning Probabilistic Movement Primitives with Non-Experts, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
BibTeX Reference
Gomez-Gonzalez, S.; Neumann, G.; Schölkopf, B.; Peters, J. (2020). Adaptation and Robust Learning of Probabilistic Movement Primitives, IEEE Transactions on Robotics (T-Ro), 36, 2, pp.366-379. Download Article BibTeX Reference
Motokura, K.; Takahashi, M.; Ewerton, M.; Peters, J. (2020). Plucking Motions for Tea Harvesting Robots Using Probabilistic Movement Primitives, IEEE Robotics and Automation Letters (ICRA/RA-L), with Presentation at the IEEE International Conference on Robotics and Automation (ICRA), 5, 2, pp.2377-3766. BibTeX Reference
Stark, S.; Peters, J.; Rueckert, E. (2019). Experience Reuse with Probabilistic Movement Primitives, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
Paraschos, A.; Daniel, C.; Peters, J.; Neumann, G. (2018). Using Probabilistic Movement Primitives in Robotics, Autonomous Robots (AURO), 42, 3, pp.529-551. Download Article BibTeX Reference
Paraschos, A.; Rueckert, E.; Peters, J.; Neumann, G. (2018). Probabilistic Movement Primitives under Unknown System Dynamics, Advanced Robotics (ARJ), 32, 6, pp.297-310. Download Article BibTeX Reference
Maeda, G.; Neumann, G.; Ewerton, M.; Lioutikov, R.; Kroemer, O.; Peters, J. (2017). Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks, Autonomous Robots (AURO), 41, 3, pp.593-612. Download Article BibTeX Reference
Paraschos, A. (2017). Robot Skill Representation, Learning and Control with Probabilistic Movement Primitives, PhD Thesis. Download Article BibTeX Reference
Dermy, O.; Paraschos, A.; Ewerton, M.; Charpillet, F.; Peters, J.; Ivaldi, S (2017). Prediction of intention during interaction with iCub with Probabilistic Movement Primitives, Frontiers in Robotics and AI, 4, pp.45. Download Article BibTeX Reference
Gomez-Gonzalez, S.; Neumann, G.; Schoelkopf, B.; Peters, J. (2016). Using Probabilistic Movement Primitives for Striking Movements, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). BibTeX Reference
Klink, P (2016). Model Learning for Probabilistic Movement Primitives, Bachelor Thesis. Download Article BibTeX Reference
Paraschos, A.; Rueckert, E.; Peters, J; Neumann, G. (2015). Model-Free Probabilistic Movement Primitives for Physical Interaction, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS). Download Article BibTeX Reference
Ewerton, M.; Neumann, G.; Lioutikov, R.; Ben Amor, H.; Peters, J.; Maeda, G. (2015). Modeling Spatio-Temporal Variability in Human-Robot Interaction with Probabilistic Movement Primitives, Workshop on Machine Learning for Social Robotics, ICRA. Download Article BibTeX Reference
Maeda, G.J.; Ewerton, M.; Lioutikov, R.; Amor, H.B.; Peters, J.; Neumann, G. (2014). Learning Interaction for Collaborative Tasks with Probabilistic Movement Primitives, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS), pp.527--534. Download Article BibTeX Reference
Colome, A.; Neumann, G.; Peters, J.; Torras, C. (2014). Dimensionality Reduction for Probabilistic Movement Primitives, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS). Download Article BibTeX Reference
Paraschos, A.; Daniel, C.; Peters, J.; Neumann, G (2013). Probabilistic Movement Primitives, Advances in Neural Information Processing Systems (NIPS / NeurIPS), MIT Press. Download Article BibTeX Reference - Our review paper "A survey of policy search in robotics" got published at Frontiers and Trends in Robotics: Deisenroth, M. P.; Neumann, G.; Peters, J. (2013). A Survey on Policy Search for Robotics, Foundations and Trends in Robotics, 21, pp.388-403. Download Article BibTeX Reference
- Three Humanoids papers accepted! Good Job, Alexandros Paraschos, Gerhard Neumann, Herke van Hoof, Heni Ben Amor and Oliver Kroemer!
- Jan Peters has been invited as Action Editor for the Journal of Machine Learning Research (JMLR).
- Jens Kober has gotten his last Ph.D.-related paper Kober, J.; Bagnell, D.; Peters, J. (2013). Reinforcement Learning in Robotics: A Survey, International Journal of Robotics Research (IJRR), 32, 11, pp.1238-1274. Download Article BibTeX Reference into IJRR, the highest ranked robotics journal.
- Gerhard Neumann, George Konidaris, Freek Stulp and Jan Peters will organize the RSS 2013 Workshop: Hierarchical and Structured Learning for Robotics.
- Jan Peters will be Area Chair at Advances in Neural Information Processing Systems (NIPS 2013).
- Katharina Muelling was featured in Deutschlandfunk (German Public Radio, kinda like NPR).
- Zhikun Wang got a paper into IJRR, the highest ranked robotics journal: Wang, Z.; Muelling, K.; Deisenroth, M. P.; Ben Amor, H.; Vogt, D.; Schoelkopf, B.; Peters, J. (2013). Probabilistic Movement Modeling for Intention Inference in Human-Robot Interaction, International Journal of Robotics Research (IJRR), 32, 7, pp.841-858. Download Article BibTeX Reference .
- Katharina Muelling got a paper into IJRR, the highest ranked robotics journal: Muelling, K.; Kober, J.; Kroemer, O.; Peters, J. (2013). Learning to Select and Generalize Striking Movements in Robot Table Tennis, International Journal of Robotics Research (IJRR), 32, 3, pp.263-279. Download Article BibTeX Reference .
- Katja Mombaur, Gerhard Neumann, Martin Felis and Jan Peters will organize the ICRA 2013 Workshop: Novel Methods for Learning and Optimization of Control Policies and Trajectories for Robotics.
- Three ICRA 2013 papers accepted: (i) Daniel, C.; Neumann, G.; Kroemer, O.; Peters, J. (2013). Learning Sequential Motor Tasks, Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA).
Download Article BibTeX Reference and (ii) Englert, P.; Paraschos, A.; Peters, J.; Deisenroth, M. P. (2013). Model-based Imitation Learning by Probabilistic Trajectory Matching, Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA).
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Englert, P. (2013). Model-based Imitation Learning by Probabilistic Trajectory Matching, Master Thesis. Download Article BibTeX Reference and (iii) Gopalan, N.; Deisenroth, M. P.; Peters, J. (2013). Feedback Error Learning for Rhythmic Motor Primitives, Proceedings of 2013 IEEE International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference . - Andras Kupcsik has gotten a AAAI paper accepted on his work at IAS: Kupcsik, A.G.; Deisenroth, M.P.; Peters, J.; Neumann, G. (2013). Data-Efficient Generalization of Robot Skills with Contextual Policy Search, Proceedings of the National Conference on Artificial Intelligence (AAAI) . Download Article BibTeX Reference .
2012
- Jan Peters got invited for an Early Career Spotlight talk at Robotics: Science and Systems (R:SS 2012).
- Jan Peters got invited for a Frontiers of Artificial Intelligence talk at the European Conference on Artificial Intelligence (ECAI 2012).
- Jan Peters becomes Area Chair for International Conference on Artificial Intelligence and Statistics (AISTATS 2012)
- Marc Deisenroth got a NIPS 2012 paper accepted: Deisenroth, M.P.; Mohamed, S. (2012). Expectation Propagation in Gaussian Process Dynamical Systems, Advances in Neural Information Processing Systems 26 (NIPS/NeurIPS), Cambridge, MA: MIT Press., The MIT Press. Download Article BibTeX Reference .
- Abdeslam Boularias got a NIPS 2012 paper accepted: Boularias, A.; Kroemer, O.; Peters, J. (2012). Algorithms for Learning Markov Field Policies, Advances in Neural Information Processing Systems 26 (NIPS/NeurIPS), Cambridge, MA: MIT Press., MIT Press. Download Article BibTeX Reference .
- Christian Daniel, Gerhard Neumann, Jan Peters paper Daniel, C.; Neumann, G.; Peters, J. (2012). Learning Concurrent Motor Skills in Versatile Solution Spaces, Proceedings of the International Conference on Robot Systems (IROS). Download Article BibTeX Reference received the IROS CoTeSys Cognitive Robotics Best Paper Award while being both the IROS 2012 Best Paper Award Finalist and the IROS 2012 Best Student Paper Award Finalist.
- Heni Ben Amor received a very competitive grant from the Daimler-Benz (Stipendium fuer Postdoktoranden und Juniorprofessoren) where out of 800 post-docs and junior professors only 10 were funded. See for more information.
- Katharina Muelling was featured in the Engadget, the New Scientist and the Spiegel.
- Oliver Kroemer got a Humanoids paper accepted:
- Heni Ben Amor, Oliver Kroemer, Ashutosh Saxena and Jan Peters will organize the IROS 2012 Workshop: Beyond Robot Grasping - Modern Approaches for Dynamic Manipulation.
- IAS members had five accepted IROS 2012 papers and one video! See Publications for the papers...
- Heni Ben Amor and Jan Peters will be giving invited talks at the IROS'2012 Workshop on Learning and Interaction in Haptic Robots.
- Abdeslam Boularias got a paper into ECML 2012: Boularias, A.; Kroemer, O.; Peters, J. (2012). Structured Apprenticeship Learning, Proceedings of the European Conference on Machine Learning (ECML).
Download Article BibTeX Reference
Boularias, A.; Kroemer, O.; Peters, J. (2012). Structured Apprenticeship Learning, Proceedings of the European Workshop on Reinforcement Learning (EWRL). BibTeX Reference - Duy Nguyen-Tuong got his last Ph.D. thesis chapter accepted as journal paper: Nguyen-Tuong, D.; Peters, J. (2012). Online Kernel-based Learning for Task-Space Tracking Robot Control, IEEE Transactions on Neural Networks and Learning Systems, 23, 9, pp.1417-1425 . Download Article BibTeX Reference
- Zhikun Wang has a new R:SS 2012 paper Wang, Z.;Deisenroth, M; Ben Amor, H.; Vogt, D.; Schoelkopf, B.; Peters, J. (2012). Probabilistic Modeling of Human Movements for Intention Inference, Proceedings of Robotics: Science and Systems (R:SS). Download Article BibTeX Reference
- Jens Kober had his Autonomous Robots journal paper accepted: Kober, J.; Wilhelm, A.; Oztop, E.; Peters, J. (2012). Reinforcement Learning to Adjust Parametrized Motor Primitives to New Situations, Autonomous Robots (AURO), 33, 4, pp.361-379, Springer US. Download Article BibTeX Reference
- Marc Deisenroth, Csaba Szepezvari and Jan Peters organize the 10th European Workshop on Reinforcement Learning (EWRL 2012) as an ICML workshop dedicated to Reinforcement Learning.
- Christian Daniel has gotten an AIStats paper accepted: Daniel, C.; Neumann, G.; Kroemer, O.; Peters, J. (2016). Hierarchical Relative Entropy Policy Search, Journal of Machine Learning Research (JMLR), 17, pp.1-50.
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Daniel, C.; Neumann, G.; Peters, J. (2012). Hierarchical Relative Entropy Policy Search, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS 2012). Download Article BibTeX Reference - Jan Peters and Pieter Abeel will hold a Tutorial on Reinforcement Learning at the International Conference on Robotics and Automation (ICRA 2012).
- Two ICRA 2012 papers accepted: (i) Bocsi, B.; Hennig, P.; Csato, L.; Peters, J. (2012). Learning Tracking Control with Forward Models, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference and (ii) Kroemer, O.; Ugur, E.; Oztop, E. ; Peters, J. (2012). A Kernel-based Approach to Direct Action Perception, Proceedings of the International Conference on Robotics and Automation (ICRA). Download Article BibTeX Reference
- Marc Deisenroth is Workshop Chair for Robotics: Science and Systems (R:SS 2013). Please go to RSS 2013 to propose a workshop.
- Jan Peters will be giving an invited talk at WAF 2012.
- Jan Peters will be giving an invited talk at the Cinacs Workshop on Learning Multimodal Agents.
2011
- Jan Peters becomes Associate Editor of the IEEE Transactions on Robotics.
- Oliver Kroemer has a full NIPS-2011 plenary presentation (~1% acceptance rate) on Kroemer, O.; Peters, J. (2011). A Non-Parametric Approach to Dynamic Programming, Advances in Neural Information Processing Systems 25 (NIPS/NeurIPS), MIT Press. Download Article BibTeX Reference
- Jan Peters receives Dick Volz Best 2007 US PhD Thesis Runner Up Award.
- Jan Peters and Oliver Kroemer move to TU Darmstadt to setup the new group.
