Publications

(2023). Deep Reinforcement Learning for Autonomous Navigation in Intralogistics. ECC 2023.

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(2022). Cerebellar transcranial current stimulation – An intraindividual comparison of different techniques. Front. Neurosci.

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(2022). End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments. In Humanoids.

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(2022). Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics. Appl. Sci. 2022.

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(2021). ACNMP: Skill transfer and task extrapolation through learning from demonstration and reinforcement learning via representation sharing. In CORL.

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(2021). Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation. Front. Robot. AI.

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(2021). Interactive Human–Robot Skill Transfer: A Review of Learning Methods and User Experience. Adavanced Intelligent Systems.

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(2020). Parameter Optimization for Loop Closure Detection in Closed Environments. IROS 2020, Workshop.

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(2020). Sample-Efficient Covariance Matrix Adaptation Evolutional Strategy via Simulated Rollouts in Neural Networks. In ASPAI 2020.

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