Towards Industry-Inspired Use-Cases for Path Finding in Robotic Mobile Fulfillment Systems. - Benedikt Hein; Mike Wesselhöft; Alice Kirchheim; Johannes Hinckeldeyn (ETFA, 2022)

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)

An Analysis of Rolling Horizon Multi-Agent Path Finding in Robotic Sorting Systems. - Benedikt Hein; Christoph Cammin; Alice Kirchheim (ETFA, 2023)

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)

From Black Box to Glass Box: Evaluating the Faithfulness of Process Predictions with GCNNs. - Myriam Schaschek; Fabian Gwinner; Benedikt Hein; Axel Winkelmann (PKDD/ECML Workshops (3), 2023)