Deep Reinforcement Learning for Autonomous Navigation in Intralogistics, 2023 | , , , , , and ,
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Cerebellar transcranial current stimulation-an intraindividual comparison of different techniques (2022), in: Frontiers Neuroscience | , , , , , , and ,
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End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments, The 2022 IEEE-RAS International Conference on Humanoid Robots, 2022 | , , , , and ,
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Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics (2022), in: Applied Sciences special issue "Intelligent Robotics", 12:6(3153) | , , , , and ,
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Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience (2021), in: Advanced Intelligent Systems | , , , , , and ,
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Predictive exoskeleton control for arm-motion augmentation based on probabilistic movement primitives combined with a flow controller (2021), in: IEEE Robotics and Automation Letters (RA-L)(1--8) | , , , and ,
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SKID RAW: Skill Discovery from Raw Trajectories (2021), in: IEEE Robotics and Automation Letters (RA-L)(1--8) | , , and ,
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Using Probabilistic Movement Primitives in analyzing human motion differences under Transcranial Current Stimulation (2021), in: Frontiers Robot. AI - Humanoid Robotics | , , , , and ,
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A novel Chlorophyll Fluorescence based approach for Mowing Area Classification (2020), in: IEEE Sensors Journal | , , and ,
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Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates (2020), in: 54th Annual Conference of the German Society for Biomedical Engineering (BMT 2020), 6:3(119-122) | , and ,
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Evolutionary training and abstraction yields algorithmic generalization of neural computers (2020), in: Nature Machine Intelligence | , and ,
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Exploiting Chlorophyll Fluorescense for Building Robust low-Cost Mowing Area Detectors (2020), in: IEEE SENSORS Conference(4) | , , and ,
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Learning Hierarchical Acquisition Functions for Bayesian Optimization, Las Vegas, USA, Proceedings of International Conference on Intelligent Robots and Systems (IROS), 2020 | , , , and ,
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Parameter Optimization for Loop Closure Detection in Closed Environments (2020), in: Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS)(8) | , , , and ,
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REAL-2019: Robot open-Ended Autonomous Learning competition (2020), in: Proceedings of Machine Learning Research(142-152) | , , , , and ,
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Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks, Berlin, Germany, Proceedings of International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), 2020 | , , , , , and ,
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Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors, Prague, Czech Republic, Proceedings of International Conference on Bio-inspired Systems and Signal Processing (BIOSIGNALS), 2019 | , , and ,
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Dynamic Control Strategies for Cable-Driven Master Slave Robots, in: Proceedings on Minimally Invasive Surgery, Luebeck, Germany, Luebeck, Germany, 2019 | , , and ,
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Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks (2019), in: Neural Networks - Elsevier, 109(67-80) | , and ,
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Loop Closure Detection in Closed Environments, European Conference on Mobile Robots (ECMR 2019), 2019 | , , and ,
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Medical robotics simulation framework for application-specific optimal kinematics (2019), in: Current Directions in Biomedical Engineering, 5:1(145-148) | , , and ,
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Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling (2018), in: Journal of Machine Learning Research (JMLR) | , , and ,
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Learning to Categorize Bug Reports with LSTM Networks, in: Proceedings of the International Conference on Advances in System Testing and Validation Lifecycle (VALID), Nice, France, pages 6, XPS (Xpert Publishing Services), 2018 | ,
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