@inproceedings{Ferrein2015,
  author    = {Ferrein, Alexander},
  title     = {3D-Mapping von Straßentunneln},
  series = {16. Geokinematischer Tag, 07. und 08. Mai 2015 : Tagungsband / Technische Universit{\"a}t Bergakademie Freiberg},
  booktitle = {16. Geokinematischer Tag, 07. und 08. Mai 2015 : Tagungsband / Technische Universit{\"a}t Bergakademie Freiberg},
  pages     = {31 -- 40},
  year      = {2015},
  language  = {de}
}
@incollection{NiemuellerLakemeyerReuteretal.2017,
  author    = {Niemueller, T. and Lakemeyer, G. and Reuter, S. and Jeschke, S. and Ferrein, Alexander},
  title     = {Benchmarking of Cyber-Physical Systems in Industrial Robotics: The RoboCup Logistics League as a CPS Benchmark Blueprint},
  series = {Cyber-Physical Systems: Foundations, Principles and Applications},
  booktitle = {Cyber-Physical Systems: Foundations, Principles and Applications},
  publisher = {Academic Press},
  address   = {London},
  doi       = {10.1016/B978-0-12-803801-7.00013-4},
  pages     = {193 -- 207},
  year      = {2017},
  abstract  = {In the future, we expect manufacturing companies to follow a new paradigm that mandates more automation and autonomy in production processes. Such smart factories will offer a variety of production technologies as services that can be combined ad hoc to produce a large number of different product types and variants cost-effectively even in small lot sizes. This is enabled by cyber-physical systems that feature flexible automated planning methods for production scheduling, execution control, and in-factory logistics. During development, testbeds are required to determine the applicability of integrated systems in such scenarios. Furthermore, benchmarks are needed to quantify and compare system performance in these industry-inspired scenarios at a comprehensible and manageable size which is, at the same time, complex enough to yield meaningful results. In this chapter, based on our experience in the RoboCup Logistics League (RCLL) as a specific example, we derive a generic blueprint for how a holistic benchmark can be developed, which combines a specific scenario with a set of key performance indicators as metrics to evaluate the overall integrated system and its components.},
  language  = {de}
}
@article{NiemuellerKarrasFerrein2017,
  author    = {Niemueller, Tim and Karras, Ulrich and Ferrein, Alexander},
  title     = {Meisterschaft der Maschinen: Die Industrial Logistic Liga},
  series = {C´t Magazin f{\"u}r Computertechnik},
  journal   = {C´t Magazin f{\"u}r Computertechnik},
  number    = {26},
  year      = {2017},
  language  = {de}
}
@inproceedings{UlmerBraunChengetal.2020,
  author    = {Ulmer, Jessica and Braun, Sebastian and Cheng, Chi-Tsun and Dowey, Steve and Wollert, J{\"o}rg},
  title     = {Gamified Virtual Reality Training Environment for the Manufacturing Industry},
  series = {Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika (ME)},
  booktitle = {Proceedings of the 2020 19th International Conference on Mechatronics - Mechatronika (ME)},
  publisher = {IEEE},
  address   = {New York, NY},
  doi       = {10.1109/ME49197.2020.9286661},
  pages     = {1 -- 6},
  year      = {2020},
  abstract  = {Industry 4.0 imposes many challenges for manufacturing companies and their employees. Innovative and effective training strategies are required to cope with fast-changing production environments and new manufacturing technologies. Virtual Reality (VR) offers new ways of on-the-job, on-demand, and off-premise training. A novel concept and evaluation system combining Gamification and VR practice for flexible assembly tasks is proposed in this paper and compared to existing works. It is based on directed acyclic graphs and a leveling system. The concept enables a learning speed which is adjustable to the users' pace and dynamics, while the evaluation system facilitates adaptive work sequences and allows employee-specific task fulfillment. The concept was implemented and analyzed in the Industry 4.0 model factory at FH Aachen for mechanical assembly jobs.},
  language  = {de}
}