Coordinated by
Institut für Robotik und Prozessinformatik
Mühlenpfordtstraße 23
38106 Braunschweig
Supported by
European Community's Horizon 2020 robotics program ICT-23-2014, grant agreement 644727 - CogIMon.
Biblio
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2018. Dynamical System-based Motion Planning for Multi-Arm Systems: Reaching for moving objects. International Joint Conference on Artificial Intelligence.
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2018. Learning Augmented Joint-Space Task-Oriented Dynamical Systems: A Linear Parameter Varying and Synergetic Control Approach. IEEE Robotics and Automation Letters. 3:2718–2725.
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2018. A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning. 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings. 87:927–946.
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2018. A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning. 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings. 87:927–946.
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2018. A Unified Framework for Coordinated Multi-Arm Motion Planning. The International Journal of Robotics Research.
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2017. Learning Complex Manipulation Tasks from Heterogeneous and Unstructured Demonstrations. Proceedings of Workshop on Synergies between Learning and Interaction.
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2017. On the mechanical, cognitive and sociable facets of human compliance and their robotic counterparts. Robotics and Autonomous Systems. 88:157–164.
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2016. Coordinated multi-arm motion planning: Reaching for moving objects in the face of uncertainty. Proceedings of Robotics: Science and Systems.
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2016. On the mechanical, cognitive and sociable facets of human compliance and their robotic counterparts. Robotics and Autonomous Systems.
