@inproceedings{EngemannWiesenKallweitetal.2018,
  author    = {Engemann, Heiko and Wiesen, Patrick and Kallweit, Stephan and Deshpande, Harshavardhan and Schleupen, Josef},
  title     = {Autonomous mobile manipulation using ROS},
  series = {Advances in Service and Industrial Robotics},
  booktitle = {Advances in Service and Industrial Robotics},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-61276-8},
  doi       = {10.1007/978-3-319-61276-8_43},
  pages     = {389 -- 401},
  year      = {2018},
  language  = {en}
}
@inproceedings{NiemuellerNeumannHenkeetal.2017,
  author    = {Niemueller, Tim and Neumann, Tobias and Henke, Christoph and Sch{\"o}nitz, Sebastian and Reuter, Sebastian and Ferrein, Alexander and Jeschke, Sabina and Lakemeyer, Gerhard},
  title     = {Improvements for a robust production in the RoboCup logistics league 2016},
  series = {RoboCup 2016: Robot World Cup XX. RoboCup 2016.},
  booktitle = {RoboCup 2016: Robot World Cup XX. RoboCup 2016.},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-68792-6},
  doi       = {10.1007/978-3-319-68792-6_49},
  pages     = {589 -- 600},
  year      = {2017},
  language  = {en}
}
@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}
}
@article{FerreinSteinbauer2016,
  author    = {Ferrein, Alexander and Steinbauer, Gerald},
  title     = {The Interplay of Aldebaran and RoboCup},
  series = {KI - K{\"u}nstliche Intelligenz},
  volume    = {30},
  journal   = {KI - K{\"u}nstliche Intelligenz},
  number    = {3-4},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1610-1987},
  doi       = {10.1007/s13218-016-0440-1},
  pages     = {325 -- 326},
  year      = {2016},
  language  = {en}
}
@article{SteinbauerFerrein2016,
  author    = {Steinbauer, Gerald and Ferrein, Alexander},
  title     = {20 Years of RoboCup},
  series = {KI - K{\"u}nstliche Intelligenz},
  volume    = {30},
  journal   = {KI - K{\"u}nstliche Intelligenz},
  number    = {3-4},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1610-1987},
  doi       = {10.1007/s13218-016-0442-z},
  pages     = {221 -- 224},
  year      = {2016},
  language  = {en}
}
@article{FerreinSteinbauer2016,
  author    = {Ferrein, Alexander and Steinbauer, Gerald},
  title     = {Looking back on 20 Years of RoboCup},
  series = {KI - K{\"u}nstliche Intelligenz},
  volume    = {30},
  journal   = {KI - K{\"u}nstliche Intelligenz},
  number    = {3-4},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1610-1987},
  doi       = {10.1007/s13218-016-0443-y},
  pages     = {321 -- 323},
  year      = {2016},
  language  = {en}
}
@incollection{NiemuellerZwillingLakemeyeretal.2017,
  author    = {Niemueller, Tim and Zwilling, Frederik and Lakemeyer, Gerhard and L{\"o}bach, Matthias and Reuter, Sebastian and Jeschke, Sabina and Ferrein, Alexander},
  title     = {Cyber-Physical System Intelligence},
  series = {Industrial Internet of Things},
  booktitle = {Industrial Internet of Things},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-319-42559-7},
  doi       = {10.1007/978-3-319-42559-7_17},
  pages     = {447 -- 472},
  year      = {2017},
  abstract  = {Cyber-physical systems are ever more common in manufacturing industries. Increasing their autonomy has been declared an explicit goal, for example, as part of the Industry 4.0 vision. To achieve this system intelligence, principled and software-driven methods are required to analyze sensing data, make goal-directed decisions, and eventually execute and monitor chosen tasks. In this chapter, we present a number of knowledge-based approaches to these problems and case studies with in-depth evaluation results of several different implementations for groups of autonomous mobile robots performing in-house logistics in a smart factory. We focus on knowledge-based systems because besides providing expressive languages and capable reasoning techniques, they also allow for explaining how a particular sequence of actions came about, for example, in the case of a failure.},
  language  = {en}
}
@inproceedings{StopforthDavrajhFerrein2017,
  author    = {Stopforth, Riaan and Davrajh, Shaniel and Ferrein, Alexander},
  title     = {South African robotics entity for a collaboration initiative},
  series = {Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016},
  booktitle = {Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2016},
  publisher = {IEEE},
  isbn      = {978-1-5090-3335-5},
  doi       = {10.1109/RoboMech.2016.7813144},
  pages     = {1 -- 6},
  year      = {2017},
  language  = {en}
}
@article{SchifferFerrein2016,
  author    = {Schiffer, Stefan and Ferrein, Alexander},
  title     = {Decision-Theoretic Planning with Fuzzy Notions in GOLOG},
  series = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  volume    = {24},
  journal   = {International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems},
  number    = {Issue Suppl. 2},
  publisher = {World Scientific},
  address   = {Singapur},
  issn      = {1793-6411},
  doi       = {10.1142/S0218488516400134},
  pages     = {123 -- 143},
  year      = {2016},
  abstract  = {In this paper we present an extension of the action language Golog that allows for using fuzzy notions in non-deterministic argument choices and the reward function in decision-theoretic planning. Often, in decision-theoretic planning, it is cumbersome to specify the set of values to pick from in the non-deterministic-choice-of-argument statement. Also, even for domain experts, it is not always easy to specify a reward function. Instead of providing a finite domain for values in the non-deterministic-choice-of-argument statement in Golog, we now allow for stating the argument domain by simply providing a formula over linguistic terms and fuzzy uents. In Golog's forward-search DT planning algorithm, these formulas are evaluated in order to find the agent's optimal policy. We illustrate this in the Diner Domain where the agent needs to calculate the optimal serving order.},
  language  = {en}
}
@inproceedings{WalentaSchellekensFerreinetal.2017,
  author    = {Walenta, Robert and Schellekens, Twan and Ferrein, Alexander and Schiffer, Stefan},
  title     = {A decentralised system approach for controlling AGVs with ROS},
  series = {AFRICON, Proceedings},
  booktitle = {AFRICON, Proceedings},
  publisher = {IEEE},
  isbn      = {978-1-5386-2775-4},
  issn      = {2153-0033},
  doi       = {10.1109/AFRCON.2017.8095693},
  pages     = {1436 -- 1441},
  year      = {2017},
  language  = {en}
}