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2020 – today
- 2023
[c4]Benedikt Hein, Christoph Cammin
, Alice Kirchheim:
An Analysis of Rolling Horizon Multi-Agent Path Finding in Robotic Sorting Systems. ETFA 2023: 1-4- [c3]Harsh Yadav, Honghu Xue, Yan Rudall, Mohamed Bakr, Benedikt Hein, Elmar Rueckert, Ngoc Thinh Nguyen:
Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot. ICSTCC 2023: 283-288 - 2022
- [c2]Benedikt Hein, Mike Wesselhöft, Alice Kirchheim, Johannes Hinckeldeyn:
Towards Industry-Inspired Use-Cases for Path Finding in Robotic Mobile Fulfillment Systems. ETFA 2022: 1-4 - [c1]Honghu Xue, Rui Song, Julian Petzold, Benedikt Hein, Heiko Hamann, Elmar Rueckert:
End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments. Humanoids 2022: 350-357 - [i1]Honghu Xue, Benedikt Hein, Mohamed Bakr, Georg Schildbach, Bengt Abel, Elmar Rueckert:
Using Deep Reinforcement Learning with Automatic Curriculum earning for Mapless Navigation in Intralogistics. CoRR abs/2202.11512 (2022)
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