15 citations · 29 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
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…
ROS-Mobile: An Android application for the Robot Operating System
Nils Rottmann, Nico Studt, Floris Ernst +1
Controlling and monitoring complex autonomous and semi autonomous robotic systems is a challenging task. The Robot Operating System (ROS) was developed to act as a robotic middlewa…
Cataglyphis ant navigation strategies solve the global localization problem in robots with binary sensors
Nils Rottmann, Ralf Bruder, Achim Schweikard +1
Low cost robots, such as vacuum cleaners or lawn mowers, employ simplistic and often random navigation policies. Although a large number of sophisticated localization and planning…
Loop Closure Detection in Closed Environments
Nils Rottmann, Ralf Bruder, Achim Schweikard +1
Low cost robots, such as vacuum cleaners or lawn mowers employ simplistic and often random navigation policies. Although a large number of sophisticated mapping and planning approa…