@inproceedings{NiemuellerFerreinReuteretal.2015,
  author    = {Niemueller, Tim and Ferrein, Alexander and Reuter, Sebastian and Jeschke, Sabina and Lakemeyer, Gerhard},
  title     = {The RoboCup Logistics League as a Holistic Multi-Robot Smart Factory Benchmark},
  series = {Proceedings of the IROS 2015 Open forum on evaluation of results, replication of experiments and benchmarking in robotics research},
  booktitle = {Proceedings of the IROS 2015 Open forum on evaluation of results, replication of experiments and benchmarking in robotics research},
  pages     = {3 S.},
  year      = {2015},
  abstract  = {With autonomous mobile robots receiving increased attention in industrial contexts, the need for benchmarks becomes more and more an urgent matter. The RoboCup Logistics League (RCLL) is one specific industry-inspired scenario focusing on production logistics within a Smart Factory. In this paper, we describe how the RCLL allows to assess the performance of a group of robots within the scenario as a whole, focusing specifically on the coordination and cooperation strategies and the methods and components to achieve them. We report on recent efforts to analyze performance of teams in 2014 to understand the implications of the current grading scheme, and derived criteria and metrics for performance assessment based on Key Performance Indicators (KPI) adapted from classic factory evaluation. We reflect on differences and compatibility towards RoCKIn, a recent major benchmarking European project.},
  language  = {en}
}
@inproceedings{FerreinKallweitScholletal.2015,
  author    = {Ferrein, Alexander and Kallweit, Stephan and Scholl, Ingrid and Reichert, Walter},
  title     = {Learning to Program Mobile Robots in the ROS Summer School Series},
  series = {Proceedings 6th International Conference on Robotics in Education (RiE 15)},
  booktitle = {Proceedings 6th International Conference on Robotics in Education (RiE 15)},
  pages     = {6 S.},
  year      = {2015},
  abstract  = {The main objective of our ROS Summer School series is to introduce MA level students to program mobile robots with the Robot Operating System (ROS). ROS is a robot middleware that is used my many research institutions world-wide. Therefore, many state-of-the-art algorithms of mobile robotics are available in ROS and can be deployed very easily. As a basic robot platform we deploy a 1/10 RC cart that is wquipped with an Arduino micro-controller to control the servo motors, and an embedded PC that runs ROS. In two weeks, participants get to learn the basics of mobile robotics hands-on. We describe our teaching concepts and our curriculum and report on the learning success of our students.},
  language  = {en}
}