6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.RO2022★ 1 cited
Using Deep Reinforcement Learning with Automatic Curriculum Learning for Mapless Navigation in Intralogistics
Honghu Xue, Benedikt Hein, Mohamed Bakr +3
We propose a deep reinforcement learning approach for solving a mapless navigation problem in warehouse scenarios. In our approach, an automation guided vehicle is equipped with Li…
cs.RO2021★ 6 cited
Using Probabilistic Movement Primitives in Analyzing Human Motion Difference under Transcranial Current Stimulation
Honghu Xue, Rebecca Herzog, Till M Berger +3
In medical tasks such as human motion analysis, computer-aided auxiliary systems have become preferred choice for human experts for its high efficiency. However, conventional appro…
cs.RO2020★ 1 cited
Parameter Optimization for Loop Closure Detection in Closed Environments
Nils Rottmann, Ralf Bruder, Honghu Xue +2
Tuning parameters is crucial for the performance of localization and mapping algorithms. In general, the tuning of the parameters requires expert knowledge and is sensitive to info…