ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing. - M. Tuluhan Akbulut; Erhan Öztop; Muhammet Yunus Seker; Honghu Xue; Ahmet Ercan Tekden; Emre Ugur (CoRL, 2020)

Parameter Optimization for Loop Closure Detection in Closed Environments. - Nils Rottmann; Ralf Bruder; Honghu Xue; Achim Schweikard; Elmar Rueckert (CoRR, 2020)

Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience. - Mehmet Ege Cansev; Honghu Xue; Nils Rottmann; Adna Bliek; Luke E. Miller; Elmar Rueckert; Philipp Beckerle (Adv. Intell. Syst., 2021)

Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation. - Honghu Xue; Rebecca Herzog; Till M. Berger; Tobias Bäumer; Anne Weissbach; Elmar Rueckert (CoRR, 2021)

Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current Stimulation. - Honghu Xue; Rebecca Herzog; Till M. Berger; Tobias Bäumer; Anne Weissbach; Elmar Rueckert (Frontiers Robotics AI, 2021)

End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments. - Honghu Xue; Rui Song; Julian Petzold; Benedikt Hein; Heiko Hamann; Elmar Rueckert (Humanoids, 2022)

Using Deep Reinforcement Learning with Automatic Curriculum earning for Mapless Navigation in Intralogistics. - Honghu Xue; Benedikt Hein; Mohamed Bakr; Georg Schildbach; Bengt Abel; Elmar Rueckert (CoRR, 2022)

Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot. - Harsh Yadav; Honghu Xue; Yan Rudall; Mohamed Bakr; Benedikt Hein; Elmar Rueckert; Ngoc Thinh Nguyen (ICSTCC, 2023)