@article{HofmannLimpertMatareetal.2018,
  author    = {Hofmann, Till and Limpert, Nicolas and Matar{\´e}, Victor and Sch{\"o}nitz, Sebastian and Niemueller, Tim and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {The Carologistics RoboCup Logistics Team 2018},
  year      = {2018},
  abstract  = {The Carologistics team participates in the RoboCup Logistics League for the seventh year. The RCLL requires precise vision, manipulation and path planning, as well as complex high-level decision making and multi-robot coordination. We outline our approach with an emphasis on recent modifications to those components. The team members in 2018 are David Bosen, Christoph Gollok, Mostafa Gomaa, Daniel Habering, Till Hofmann, Nicolas Limpert, Sebastian Sch{\"o}nitz, Morian Sonnet, Carsten Stoffels, and Tarik Viehmann. This paper is based on the last year's team description.},
  language  = {en}
}
@article{FerreinSchifferLakemeyer2008,
  author    = {Ferrein, Alexander and Schiffer, Stefan and Lakemeyer, Gerhard},
  title     = {A Fuzzy Set Semantics for Qualitative Fluents in the Situation Calculus / Ferrein, Alexander ; Schiffer, Stefan ; Lakemeyer, Gerhard},
  series = {Intelligent Robotics and Applications : First International Conference, ICIRA 2008 Wuhan, China, October 15-17, 2008 Proceedings, Part I},
  journal   = {Intelligent Robotics and Applications : First International Conference, ICIRA 2008 Wuhan, China, October 15-17, 2008 Proceedings, Part I},
  publisher = {Springer},
  address   = {Berlin},
  pages     = {498 -- 509},
  year      = {2008},
  language  = {en}
}
@article{SchifferFerreinLakemeyer2015,
  author    = {Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Abstracting Away Low-Level Details in Service Robotics with Fuzzy Fluents},
  series = {Model-Driven Knowledge Engineering for Improved Software Modularity in Robotics and Automation. Workshop at European Robotics Forum 2015 Vienna, Austria, March 11-13, 2015.},
  journal   = {Model-Driven Knowledge Engineering for Improved Software Modularity in Robotics and Automation. Workshop at European Robotics Forum 2015 Vienna, Austria, March 11-13, 2015.},
  pages     = {1 -- 4},
  year      = {2015},
  language  = {en}
}
@article{NiemuellerLakemeyerFerreinetal.2013,
  author    = {Niem{\"u}ller, Tim and Lakemeyer, Gerhard and Ferrein, Alexander and Reuter, S. and Ewert, D. and Jeschke, S. and Pensky, D. and Karras, Ulrich},
  title     = {Proposal for advancements to the LLSF in 2014 and beyond},
  pages     = {Publ. online},
  year      = {2013},
  language  = {en}
}
@article{FerreinJacobsLakemeyer2005,
  author    = {Ferrein, Alexander and Jacobs, Stefan and Lakemeyer, Gerhard},
  title     = {Controlling Unreal Tournament 2004 Bots with the logic-based action language Golog / Jacobs, Stefan ; Ferrein, Alexander ; Lakemeyer, Gerhard},
  series = {Proceedings of the First AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE).},
  journal   = {Proceedings of the First AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE).},
  pages     = {151 -- 152},
  year      = {2005},
  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}
}
@article{FerreinRensMeyeretal.2011,
  author    = {Ferrein, Alexander and Rens, Gavin and Meyer, Thomas and Lakemeyer, Gerhard},
  title     = {A Logic for Specifying Partially Observable Stochastic Domains / Rens, Gavin ; Meyer, Thomas ; Ferrein, Alexander ; Lakemeyer, Gerhard},
  series = {Proceedings of the Ninth International Workshop pn non-Monotonic Reasoning, Action and Change (NRAC`11)},
  journal   = {Proceedings of the Ninth International Workshop pn non-Monotonic Reasoning, Action and Change (NRAC`11)},
  pages     = {15 -- 22},
  year      = {2011},
  language  = {en}
}
@article{Ferrein2010,
  author    = {Ferrein, Alexander},
  title     = {golog.lua: Towards a Non-Prolog Implementation of Golog for Embedded Systems},
  pages     = {20 -- 28},
  year      = {2010},
  language  = {en}
}
@article{Ferrein2010,
  author    = {Ferrein, Alexander},
  title     = {golog.lua: Towards a Non-Prolog Implementation of Golog for Embedded Systems},
  series = {Cognitive Robotics / Lakemeyer, Gerhard (ed.)},
  journal   = {Cognitive Robotics / Lakemeyer, Gerhard (ed.)},
  pages     = {1 -- 15},
  year      = {2010},
  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}
}