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Publications former Staff

Publications by: Honghu Xue


2023

Harsh Yadav, Honghu Xue, Yan Rudall, Bakr Mohamed, Benedikt Hein, Elmar Rueckert and Ngoc Thinh Nguyen, Deep Reinforcement Learning for Autonomous Navigation in Intralogistics, 2023
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2022

Rebecca Herzog, Till M Berger, Martje Gesine Pauly, Honghu Xue, Elmar Rueckert, Alexander Münchau, Tobias Bäumer and Anne Weissbach, Cerebellar transcranial current stimulation-an intraindividual comparison of different techniques (2022), in: Frontiers Neuroscience
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Honghu Xue, Rui Song, Julian Petzold, Benedikt Hein, Heiko Hamann and Elmar Rueckert, 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
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Honghu Xue, Benedikt Hein, Bakr Mohamed, Georg Schildbach, Bengt Abel and Elmar Rueckert, Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics (2022), in: Applied Sciences special issue "Intelligent Robotics", 12:6(3153)
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2021

Mehmet Cansev, Honghu Xue, Nils Rottmann, Adna Bliek, Luke E Miller, Elmar Rueckert and Philipp Beckerle, Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience (2021), in: Advanced Intelligent Systems
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Honghu Xue, Rebecca Herzog, Till M Berger, Tobias Bäumer, Anne Weissbach and Elmar Rueckert, Using Probabilistic Movement Primitives in analyzing human motion differences under Transcranial Current Stimulation (2021), in: Frontiers Robot. AI - Humanoid Robotics
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2020

Mete Tuluhan Akbulut, Erhan Oztop, M. Yunus Seker, Honghu Xue, ‪Ahmet Ercan Tekden and Emre Ugur, ACNMP: Flexible Skill Formation with Learning from Demonstration and Reinforcement Learning via Representation Sharing, Virtual Conference, Conference on Robot Learning (CoRL), 2020
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Nils Rottmann, Ralf Bruder, Honghu Xue, Achim Schweikard and Elmar Rueckert, Parameter Optimization for Loop Closure Detection in Closed Environments (2020), in: Workshop Paper at the International Conference on Intelligent Robots and Systems (IROS)(8)
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Honghu Xue, Sven Böttger, Nils Rottmann, Harit Pandya, Ralf Bruder, Gerdhard Neumann and Elmar Rueckert, 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
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