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    Funk, N.; Helmut, E.; Chalvatzaki, G.; Calandra, R.; Peters, J. (submitted). Evetac: An Event-based Optical Tactile Sensor for Robotic Manipulation, Submitted to the IEEE Transactions on Robotics (T-Ro).
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    Peters (2222). test, test.
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    Al-Hafez, F.; Zhao, G.; Peters, J.; Tateo, D. (2024). Time-Efficient Reinforcement Learning with Stochastic Stateful Policies, International Conference on Learning Representations (ICLR).
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    Lach, L.; Funk, N.; Haschke, R.; Lemaignan, S.; Ritter, H.; Peters, J.; Chalvatzaki, G. (2023). Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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    Lach, L. M.; Haschke, R.; Tateo, D.; Peters, J.; Ritter, H.; Borras, J.; Torras, C. (2023). Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot, TouchProcessing workshop at NeurIPS..
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    Watson, J.; Hanher, B.; Peters, J. (2022). Differentiable Simulators as Gaussian Processes, R:SS Workshop: Differentiable Simulation for Robotics.
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    Watson, J.; Peters, J.; (2022). Stationary Posterior Policy Iteration with Variational Inference, The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM).
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    Liu, P.; Zhang, K.; Tateo, D.; Jauhri, S.; Peters, J.; Chalvatzaki, G. (2022). ReDSDF: Regularized Deep Signed Distance Fields for Robotics, ICRA 2022 workshop on Motion Planning with Implicit Neural Representations of Geometry.
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    Pal, S.; Chakraborty, K.; Aditya, D.; Datta, A.; Peters, J. (2021). Steuerung von Industriemaschinen mittels Verfolgung von Bewegungen Ihrer Bediener, Patent EP000004141592A1.
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    Flynn, H.; Peters, J.; Kandemir, M. (2021). Verfahren und Vorrichtung fuer bestaerkendes Lernen, Patent DE102021212277A1.
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    Watson, J.; Peters, J. (2021). Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk, American Control Conference (ACC).
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    Abdulsamad, H.; Dorau, T.; Belousov, B.; Zhu, J.-J; Peters, J. (2021). Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative Entropy Trust-Regions, arXiv.
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    D`Eramo, C.; Cini, A.; Nuara, A.; Pirotta, M.; Alippi, C.; Peters, J.; Restelli, M. (2021). Gaussian Approximation for Bias Reduction in Q-Learning, Journal of Machine Learning Research (JMLR).
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    Abdulsamad, H.; Peters, J. (2021). Model-Based Reinforcement Learning for Stochastic Hybrid Systems, arXiv.
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    Flynn, H.; Kandemir, M.; Peters, J.; Reeb, D. (2021). Vorrichtung, Computerprogramm und computerimplementiertes Verfahren zum Maschinenlernen, Patent DE102021207868A1.
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    Tosatto, S.; Stadtmueller, J.; Peters, J. (2020). Dimensionality Reduction of Movement Primitives in Parameter Space, arXiv.
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    Abdulsamad, H.; Peters, J. (2020). Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation, 2nd Annual Conference on Learning for Dynamics and Control.
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    Pajarinen, J.; Arenz, O.; Peters, J.; Neumann, N. (2020). Probabilistic approach to physical object disentangling, IEEE Robotics and Automation Letters (RA-L).
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    Urain, J.; Ginesi, M.; Tateo, D.; Peters, J. (2020). ImitationFlow: Learning Deep Stable Stochastic Dynamic Systems by Normalizing Flows, IEEE/RSJ International Conference on Intelligent Robots and Systems.
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    Abdulsamad, H.; Peters, J. (2020). Learning Hybrid Dynamics and Control, ECML/PKDD Workshop on Deep Continuous-Discrete Machine Learning.
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    Tanneberg, D.; Rueckert, E.; Peters, J. (2020). Evolutionary Training and Abstraction Yields Algorithmic Generalization of Neural Computers, Nature Machine Intelligence, 2, 12, pp.753-763.
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    Urain, J.; Tateo, D.; Ren, T.; Peters, J. (2020). Structured policy representation: Imposing stability in arbitrarily conditioned dynamic systems, NeurIPS 2020, 3rd Robot Learning Workshop, pp.7.
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    Watson, J.; Imohiosen A.; Peters, J. (2020). Active Inference or Control as Inference? A Unifying View, International Workshop on Active Inference.
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    Kandemir, M.; Peters, J.; Flynn, H. (2020). Vorrichtung und computerimplementiertes Verfahren zum Maschinenlernen, Patent EP000003975063A1.
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    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.
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    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).
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    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).
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    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).
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    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).
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    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).
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    Ewerton, M.; Arenz, O.; Maeda, G.; Koert, D.; Kolev, Z.; Takahashi, M.; Peters, J. (2019). Learning Trajectory Distributions for Assisted Teleoperation and Path Planning, Frontiers in Robotics and AI.
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    Ewerton, M.; Maeda, G.; Koert, D.; Kolev, Z.; Takahashi, M.; Peters, J. (2019). Reinforcement Learning of Trajectory Distributions: Applications in Assisted Teleoperation and Motion Planning, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.4294--4300.
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    Delfosse, Q.; Stark, S.; Tanneberg, D.; Santucci, V. G.; Peters, J. (2019). Open-Ended Learning of Grasp Strategies using Intrinsically Motivated Self-Supervision, Workshop at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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    Tanneberg, D.; Rueckert, E.; Peters, J. (2019). Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture, arXiv.
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    Thai, H.L.; Peters, J.; Hermann, M. (2019). Verfahren und Vorrichtung zum Ansteuern eines Roboters, Patent DE102019203634A1.
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    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).
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    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.
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    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).
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    Parisi, S.; Tangkaratt, V.; Peters, J.; Khan M. E. (2018). TD-Regularized Actor-Critic Methods, European Workshop on Reinforcement Learning (EWRL).
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    Bischoff, B.; Vinogradska, J.; Peters, J. (2018). Verfahren und Vorrichtung zum Einstellen mindestens eines Parameters eines Aktorregelungssystems und Aktorregelungssystems, Patent PCT/EP2018/067213, EP000003646122A1, WO002019002349.
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    Bischoff, B.; Vinogradska, J.; Peters, J. (2018). Verfahren und Vorrichtung zum Einstellen mindestens eines Parameters eines Aktorregelungssystems und Aktorregelungssystem, Patent PCT/EP2018/071742, EP000003698222A1, WO002019076511.
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    Bischoff, B.; Vinogradska, J.; Peters, J. (2018). Verfahren und Vorrichtung zum Betreiben eines Aktorregelungssystems, Computerprogramm und Maschinenlesbares Speichermedium, Patent PCT/EP2018/071753, EP000003698223A1, EP000003698223B1, WO002019076512.
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    Ewerton, M.; Kollegger, G.; Maeda, G.; Wiemeyer, J.; Peters, J. (2017). Iterative Feedback-basierte Korrekturstrategien beim Bewegungslernen von Mensch-Roboter-Dyaden, DVS Sportmotorik 2017.
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    Kollegger, G.; Reinhardt, N.; Ewerton, M.; Peters, J.; Wiemeyer, J. (2017). Die Bedeutung der Beobachtungsperspektive beim Bewegungslernen von Mensch-Roboter-Dyaden, DVS Sportmotorik 2017.
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    Wiemeyer, J.; Peters, J.; Kollegger, G.; Ewerton, M. (2017). BIMROB – Bidirektionale Interaktion von Mensch und Roboter beim Bewegungslernen, DVS Sportmotorik 2017.
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    Simone Parisi, Voot Tangkaratt, Jan Peters (2017). Regularized Contextual Policy Search via Mutual Information, Proceedings of the Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM).
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    Kollegger, G.; Ewerton, M.; Wiemeyer, J.; Peters, J. (2017). BIMROB – Bidirectional Interaction between human and robot for the learning of movements – Robot trains human – Human trains robot, 23. Sport­wissenschaft­licher Hochschultag der dvs.
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    Ewerton, M.; Maeda, G.; Rother, D.; Weimar, J.; Lotter, L.; Kollegger, G.; Wiemeyer, J.; Peters, J. (2017). Assisting the practice of motor skills by humans with a probability distribution over trajectories, Workshop Human-in-the-loop robotic manipulation: on the influence of the human role at IROS 2017, Vancouver, Canada.
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    Kollegger, G.; Ewerton, M.; Wiemeyer, J.; Peters, J. (2017). BIMROB -- Bidirectional Interaction Between Human and Robot for the Learning of Movements, in: Lames, M.; Saupe, D.; Wiemeyer, J. (eds.), Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017), pp.151--163, Springer International Publishing.
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    Kollegger, G., Wiemeyer, J., Ewerton, M. & Peters, J. (2017). BIMROB - Bidirectional Interaction between human and robot for the learning of movements - Robot trains human - Human trains robot, in: A. Schwirtz, F. Mess, Y. Demetriou & V. Senner (eds.), Inovation & Technologie im Sport - 23. Sportwissenschaftlicher Hochschultag der deutschen Vereinigung für Sportwissenschaft, pp.179, Czwalina-Feldhaus.
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    Bischoff, B.; Vinogradska, J.; Peters, J. (2017). Verfahren und Vorrichtung zum Einstellen mindestens eines Parameters eines Aktorregelungssystems und Aktorregelungssystem, Patent PCT/EP2018/071742, DE102017218813A1.
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    Bischoff, B.; Vinogradska, J.; Peters, J. (2017). Verfahren und Vorrichtung zum Einstellen mindestens eines Parameters eines Aktorregelungssystems, Aktorregelungssystem und Datensatz, Patent DE102017211209A1.
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    Bischoff, B.; Vinogradska, J.; Peters, J. (2017). Verfahren und Vorrichtung zum Betreiben eines Aktorregelungssystems, Computerprogramm und maschinenlesbares Speichermedium, Patent PCT/EP2018/071753,DE102017218811A1.
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    Sharma, D.; Tanneberg, D.; Grosse-Wentrup, M.; Peters, J.; Rueckert, E. (2016). Adaptive Training Strategies for BCIs, Cybathlon Symposium.
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    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.
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    Faber, N.; Friess, T.; Fiebig, K.H.; Hesse, T.; Sharma, D.; Peters, J.; Grosse-Wentrup, M. (2016). Neurofeedback for State of the Art Paradigms in Brain-Computer Interfacing , Cybathlon Symposium.
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    Friess, T.; Fiebig, K.H.; Sharma, D.; Faber, N.; Hesse, T.; Tanneberg, D.; Peters, J.; Grosse-Wentrup, M. (2016). Personalized Brain-Computer Interfaces for Non-Laboratory Environments, Cybathlon Symposium.
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    Maeda, G.; Maloo, A.; Ewerton, M.; Lioutikov, R.; Peters, J. (2016). Proactive Human-Robot Collaboration with Interaction Primitives, International Workshop on Human-Friendly Robotics (HFR), Genoa, Italy.
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    Maeda, G.; Maloo, A.; Ewerton, M.; Lioutikov, R.; Peters, J. (2016). Anticipative Interaction Primitives for Human-Robot Collaboration, AAAI Fall Symposium Series. Shared Autonomy in Research and Practice, Arlington, VA, USA.
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    Kollegger, G.; Ewerton, M.; Peters, J.; Wiemeyer, J. (2016). Bidirektionale Interaktion zwischen Mensch und Roboter beim Bewegungslernen (BIMROB), 11. Symposium der DVS Sportinformatik.
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    Hesse, T.; Faber, N.; Beckerle, P.; Rinderknecht, S.; Peters, J. (2016). Towards Universal Human-Machine Interfaces: A real-life Brain-Computer Interface Case Study, Users Body Experience and Human-Machine Interfaces in (Assistive) Robotics.
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    Lioutikov, R.; Neumann, G.; Maeda, G.J.; Peters, J. (2015). Probabilistic Segmentation Applied to an Assembly Task, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).
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    Calandra R.; Peters J.; Seyfarth A.; Deisenroth M.P. (2013). An Experimental Evaluation of Bayesian Optimization on Bipedal Locomotion, NIPS 2013 workshop on Bayesian optimization.
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    Peters, J.;Schaal, S. (2007). Policy learning for motor skills, in: (eds.), Proceedings of the 14th International Conference on Neural Information Processing (ICONIP 2007), , , pp., Springer.
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    Christensen, M. S.;Lundbye-Jensen, J.;Geertsen, S. S.;Petersen, T. H.;Paulson, O. B.;Nielsen, J. B. (2007). Premotor cortex modulates somatosensory cortex during voluntary movements without proprioceptive feedback, in: (eds.), NATURE NEUROSCIENCE, 10, 4, pp.417-419, NATURE PUBLISHING GROUP.
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    Petersen, N. T.;Pyndt, H. S.;Nielsen, J. B. (2003). Investigating human motor control by transcranial magnetic stimulation, in: (eds.), EXPERIMENTAL BRAIN RESEARCH, 152, 1, pp.1, .
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    Peters, J. (2001). Cerebellar Control of Robot Arms, Diploma Thesis, Department of Electrical Engineering, Technische Univeristaet Muenchen.
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    Peters, J. (2000). Neural Networks in Robot Control, Diploma Thesis, Department of Computer Science, FernUniversitaet Hagen.
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    Driscoll, J.;Peters, R.;Cave, K. (1998). A visual attention network for a humanoid robot, in: (eds.), Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-98), , , pp., .
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    Kettner, R. E.;Mahamud, S.;Leung, H. C.;Sitkoff, N.;Houk, J. C.;Peterson, B. W.;Barto, A. G. (1997). Prediction of complex two-dimensional trajectories by a cerebellar model of smooth pursuit eye movement, in: (eds.), J Neurophysiol, 77, 4, pp.2115-30, .
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    Kettner, R. E.;Leung, H. C.;Peterson, B. W. (1996). Predictive smooth pursuit of complex two-dimensional trajectories in monkey: component interactions, in: (eds.), Exp Brain Res, 108, 2, pp.221-35, .