Found 237 resultsAuthor Title Type [ Year]
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Efficient Online Interest-Driven Exploration for Developmental Robots. IEEE Trans. Cognitive and Developmental Systems. 14 (4):1367-1377.. 2022.
Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images. International Conference on Advanced Robotics. :730-737.. 2021.
Efficient and Stable Online Learning for Developmental Robots. PhD Thesis - Dr.-Ing. 2021.
Interest-Driven Exploration for Real Robot Applications: Sample-Efficiency, High-Accuracy, and Robustness.. 2021.
Interest-Driven Exploration with Observational Learning for Developmental Robots. IEEE Transactions on Cognitive and Developmental Systems .. 2021.
An architecture for AutomationML-based constraint modelling and orchestration of Incremental Manufacturing. 7th CIRP Global Web Conference.. 2019.
Goal-Related Feedback Guides Motor Exploration and Redundancy Resolution in Human Motor Skill Acquisition. PLOS Computational Biology. 15(3):1-27.. 2019.
Online Associative Multi-Stage Goal Babbling Toward Versatile Learning of Sensorimotor Skills. Int. Conference Developmental Learning. :327-334.. 2019.
From social interaction to ethical AI: a developmental roadmap. ICDL-EPIROB 2018.. 2018.
Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.. 2018.
Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.. 2018.
Modelling of Parametrized Processes via Regression in the Model Space of Neural Networks. Neurocomputing. 268(C):55-63.. 2017.
Time Series Classification in Reservoir- and Model-Space. Neural Processing Letters. 48(3):789–809.. 2017.
Towards Grasping with Spiking Neural Networks for Anthropomorphic Robot Hands. ICANN 2017 - The 26th International Conference on Artificial Neural Networks.. 2017.
Continuous Task-Priority Rearrangement during Motion Execution with a Mixture of Torque Controllers. Proc. IEEE Humanoids.. 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.. 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.. 2016.
Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.. 2016.