Biblio
Found 238 results
Author Title Type [ Year
] Filters: First Letter Of Last Name is R [Clear All Filters]
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2024. Lessons Learned from Investigating Robotics-Based, Human-like Testing of an Upper-Body Exoskeleton . Applied Sciences. 14(6)
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2022. Efficient Online Interest-Driven Exploration for Developmental Robots. IEEE Trans. Cognitive and Developmental Systems. 14 (4):1367-1377.
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2021. Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images. International Conference on Advanced Robotics. :730-737.
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2021. Efficient and Stable Online Learning for Developmental Robots. PhD Thesis - Dr.-Ing
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2021. Interest-Driven Exploration with Observational Learning for Developmental Robots. IEEE Transactions on Cognitive and Developmental Systems .
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2020. Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills. ICRA . :1336-1342.
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2019. An architecture for AutomationML-based constraint modelling and orchestration of Incremental Manufacturing. 7th CIRP Global Web Conference.
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2019. Goal-Related Feedback Guides Motor Exploration and Redundancy Resolution in Human Motor Skill Acquisition. PLOS Computational Biology. 15(3):1-27.
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2019. Online Associative Multi-Stage Goal Babbling Toward Versatile Learning of Sensorimotor Skills. Int. Conference Developmental Learning. :327-334.
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2018. From social interaction to ethical AI: a developmental roadmap. ICDL-EPIROB 2018.
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2018. Learning Forward and Inverse Kinematics Maps Efficiently. IROS 2018.
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2018. Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.
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2018. Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.
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2018. Multi-Stage Goal Babbling for Learning Inverse Models Simultaneously.. IROS workshop.
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2017. Hybrid Analytical and Data-driven Modeling for Feed-forward Robot Control. Sensors. 17(2)
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2017. Learning Inverse Statics Models Efficiently. arXiv.
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2017. Modelling of Parametrized Processes via Regression in the Model Space of Neural Networks. Neurocomputing. 268(C):55-63.
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2017. Time Series Classification in Reservoir- and Model-Space. Neural Processing Letters. 48(3):789–809.
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2017. Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands. ICANN 2017 - The 26th International Conference on Artificial Neural Networks.
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2016. Continuous Task-Priority Rearrangement during Motion Execution with a Mixture of Torque Controllers. Proc. IEEE Humanoids.
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2016. Generalizing the Inverse Dynamic Model of KUKA LWR IV+ for Load Variations using Regression in the Model Space. Proceedings of IEEE Int. Conf. Intelligent Robots and Systems. :606–611.
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2016. Goal Babbling with direction sampling for simultaneous exploration and learning of inverse kinematics of a humanoid robot. Proceedings of the workshop on New Challenges in Neural Computation. 4:56–63.
