3rd-Hand Journal Papers

Maeda, G.; Ewerton, M.; Neumann, G.; Lioutikov, R.; Peters, J. (accepted). Phase Estimation for Fast Action Recognition and Trajectory Generation in Human-Robot Collaboration, International Journal of Robotics Research (IJRR).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R.; Neumann, G.; Maeda, G.; Peters, J. (accepted). Learning Movement Primitive Libraries through Probabilistic Segmentation, International Journal of Robotics Research (IJRR).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Maeda, G.; Neumann, G.; Ewerton, M.; Lioutikov, L.; Kroemer, O.; Peters, J. (2017). Probabilistic Movement Primitives for Coordination of Multiple Human-Robot Collaborative Tasks, Autonomous Robots (AURO), 41, 3, pp.593-612.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Peters, J. (2017). A Comparison of Autoregressive Hidden Markov Models for Multi-Modal Manipulations with Variable Masses, Proceedings of the International Conference of Robotics and Automation, and IEEE Robotics and Automation Letters (RA-L), 2, 2, pp.1101 - 1108.   See Details [Details]   BibTeX Reference [BibTex]

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.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

3rd-Hand Conference and Workshop Papers

Jensen, L. C.; Fischer, K.; Kirstein, F.; Shukla, D.; Erkent, O.; Piater, J. (2017). It Gets Worse Before it Gets Better, 12th ACM/IEEE International Conference on Human-Robot Interaction, ACM.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wilbers, D.; Lioutikov, R.; Peters, J. (2017). Context-Driven Movement Primitive Adaptation, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Erkent, O.; Shukla, D.; Piater, J. (2017). Visual Task Outcome Verification Using Deep Learning, IEEE/RSJ International Conference on Intelligent Robots and Systems.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Shukla, D.; Erkent, O.; Piater, J. (2017). Proactive, Incremental Learning of Gesture-Action Associations For Human-Robot Collaboration, International Symposium on Robot and Human Interactive Communication, IEEE.   See Details [Details]   BibTeX Reference [BibTex]

Shukla, D.; Erkent, O.; Piater, J. (2017). Supervised learning of gesture-action associations for human-robot collaboration, 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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).   See Details [Details]   BibTeX Reference [BibTex]

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.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Celemin, C.; Maeda, G.; Kober, J.; Ruiz-del-Solar, J. (2017). Human Corrective Advice in the Policy Search Loop, Workshop Human-in-the-loop robotic manipulation: on the influence of the human role at IROS 2017, Vancouver, Canada.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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.   See Details [Details]   BibTeX Reference [BibTex]

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.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Shukla, Dadhichi and Erkent, Ozgur and Piater, Justus (2016). A Multi-View Hand Gesture RGB-D Dataset for Human-Robot Interaction Scenarios, International Symposium on Robot and Human Interactive Communication.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Erkent, Ozgur and Shukla, Dadhichi and Piater, Justus (2016). Integration of Probabilistic Pose Estimates From Multiple Views, European Conference on Computer Vision.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Koc, O.; Maeda, G.; Neumann, G.; Peters, J. (2015). Optimizing Robot Striking Movement Primitives with Iterative Learning Control, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   BibTeX Reference [BibTex]

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).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Lioutikov, R.; Kroemer, O.; Peters, J.; Maeda, G. (2014). Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot, Proceedings of the 13th International Conference on Intelligent Autonomous Systems (IAS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Kroemer, O.; Peters, J. (2014). Predicting Object Interactions from Contact Distributions, Proceedings of the IEEE/RSJ Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

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.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Brandl, S.; Kroemer, O.; Peters, J. (2014). Generalizing Pouring Actions Between Objects using Warped Parameters, Proceedings of the International Conference on Humanoid Robots (HUMANOIDS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

3rd-Hand Books, Book Chapters & Theses

Lolkes, C. (2017). Incremental Imitation Learning with Estimation of Uncertainty, Bachelo thesis TU Darmstadt.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Koert, D. (2016). Combining Human Demonstrations and Motion Planning for Movement Primitive Optimization, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Wilbers, D. (2016). Context-driven Movement Primitive Adaptation, Master Thesis, IAS, TU Darmstadt.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Koert, D. (2015). Inverse Kinematics for Optimal Human-Robot Collaboration, Honors Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Ewerton, M. (2014). Modeling Human-Robot Interaction with Probabilistic Movement Representations, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

  

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