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Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders.

, , , and . Humanoids, page 434-440. IEEE, (2015)

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Teleoperation grasp assistance using infra-red sensor array., , and . Robotica, 33 (4): 986-1002 (2015)System architecture for an interactive patrolling humanoid robot., , , , , , and . WASA, page 119-123. ACM, (2012)Efficient Movement Representation and Prediction with Machine Learning (Effiziente Darstellung und Vorhersage von Bewegungsabläufen durch Maschinelles Lernen). Technical University of Munich, Germany, (2018)Assistive grasping in teleoperation using infra-red proximity sensors., , and . RO-MAN, page 232-237. IEEE, (2013)Local Distance Preserving Auto-encoders using Continuous kNN Graphs., , and . TAG-ML, volume 196 of Proceedings of Machine Learning Research, page 55-66. PMLR, (2022)Stable reinforcement learning with autoencoders for tactile and visual data., , , , and . IROS, page 3928-3934. IEEE, (2016)DomainLab: A modular Python package for domain generalization in deep learning., , , , , , , , , and 3 other author(s). CoRR, (2024)Intuitive interaction for robotic grasping., , , and . WASA, page 105-111. ACM, (2012)Human-aided robotic grasping., , , and . RO-MAN, page 75-80. IEEE, (2012)M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling., , , , , , , , , and . CoRR, (2024)