@inproceedings{NiemuellerReuterFerreinetal.2016,
  author    = {Niemueller, Tim and Reuter, Sebastian and Ferrein, Alexander and Jeschke, Sabina and Lakemeyer, Gerhard},
  title     = {Evaluation of the RoboCup Logistics League and Derived Criteria for Future Competitions},
  series = {RoboCup 2015: Robot World Cup XIX},
  booktitle = {RoboCup 2015: Robot World Cup XIX},
  editor    = {Almeida, Luis},
  publisher = {Springer International Publishing},
  address   = {Cham},
  isbn      = {978-3-319-29339-4},
  doi       = {10.1007/978-3-319-29339-4_3},
  pages     = {31 -- 43},
  year      = {2016},
  language  = {en}
}
@inproceedings{RensFerreinPoel2008,
  author    = {Rens, Gavin and Ferrein, Alexander and Poel, Etienne van der},
  title     = {Extending DTGolog to deal with POMD-Ps},
  series = {Proceedings of the Nineteenth Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2008)},
  booktitle = {Proceedings of the Nineteenth Annual Symposium of the Pattern Recognition Association of South Africa (PRASA 2008)},
  organization    = {Pattern Recognition Association of South Africa},
  pages     = {49 -- 54},
  year      = {2008},
  language  = {en}
}
@article{FerreinFritzLakemeyer2003,
  author    = {Ferrein, Alexander and Fritz, Christian and Lakemeyer, Gerhard},
  title     = {Extending DTGOLOG with Options / Ferrein, Alexander ; Fritz, Christian ; Lakemeyer, Gerhard},
  series = {IJCAI-03, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, August 9-15, 2003},
  journal   = {IJCAI-03, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, August 9-15, 2003},
  pages     = {1391 -- 1393},
  year      = {2003},
  language  = {en}
}
@inproceedings{NiemuellerReuterFerrein2016,
  author    = {Niemueller, Tim and Reuter, Sebastian and Ferrein, Alexander},
  title     = {Fawkes for the RoboCup Logistics League},
  series = {RoboCup 2015: Robot World Cup XIX},
  booktitle = {RoboCup 2015: Robot World Cup XIX},
  editor    = {Almeida, Luis},
  publisher = {Springer International Publishing},
  address   = {Cham},
  isbn      = {978-3-319-29339-4},
  doi       = {10.1007/978-3-319-29339-4_31},
  pages     = {365 -- 373},
  year      = {2016},
  language  = {en}
}
@article{FerreinSchifferLakemeyer2006,
  author    = {Ferrein, Alexander and Schiffer, Stefan and Lakemeyer, Gerhard},
  title     = {Football is coming Home / Schiffer, Stefan ; Ferrein, Alexander ; Lakemeyer, Gerhard},
  series = {PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots},
  journal   = {PCAR '06 Proceedings of the 2006 international symposium on Practical cognitive agents and robots},
  publisher = {ACM},
  address   = {New York, NY},
  isbn      = {1-74052-130-7},
  pages     = {39 -- 50},
  year      = {2006},
  language  = {en}
}
@inproceedings{SchifferFerreinLakemeyer2011,
  author    = {Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Fuzzy representations and control for domestic service robots in Golog},
  series = {Intelligent robotics and applications : 4th International conference, ICIRA 2011, Aachen, Germany, December 6-8, 2011, proceedings, part I. (Lecture notes in computer science ; 7102)},
  booktitle = {Intelligent robotics and applications : 4th International conference, ICIRA 2011, Aachen, Germany, December 6-8, 2011, proceedings, part I. (Lecture notes in computer science ; 7102)},
  isbn      = {978-3-642-25486-4},
  pages     = {241 -- 250},
  year      = {2011},
  language  = {en}
}
@inproceedings{MatareSchifferFerrein2019,
  author    = {Matar{\´e}, Victor and Schiffer, Stefan and Ferrein, Alexander},
  title     = {golog++ : An integrative system design},
  series = {CogRob 2018. Cognitive Robotics Workshop : Proceedings of the 11th Cognitive Robotics Workshop 2018 co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018) Tempe, AZ, USA, October 27th, 2018},
  booktitle = {CogRob 2018. Cognitive Robotics Workshop : Proceedings of the 11th Cognitive Robotics Workshop 2018 co-located with 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018) Tempe, AZ, USA, October 27th, 2018},
  editor    = {Steinbauer, Gerald and Ferrein, Alexander},
  issn      = {1613-0073},
  pages     = {29 -- 35},
  year      = {2019},
  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}
}
@inproceedings{ChajanSchulteTiggesRekeetal.2021,
  author    = {Chajan, Eduard and Schulte-Tigges, Joschua and Reke, Michael and Ferrein, Alexander and Matheis, Dominik and Walter, Thomas},
  title     = {GPU based model-predictive path control for self-driving vehicles},
  series = {IEEE Intelligent Vehicles Symposium (IV)},
  booktitle = {IEEE Intelligent Vehicles Symposium (IV)},
  publisher = {IEEE},
  isbn      = {978-1-7281-5394-0},
  doi       = {10.1109/IV48863.2021.9575619},
  pages     = {1243 -- 1248},
  year      = {2021},
  abstract  = {One central challenge for self-driving cars is a proper path-planning. Once a trajectory has been found, the next challenge is to accurately and safely follow the precalculated path. The model-predictive controller (MPC) is a common approach for the lateral control of autonomous vehicles. The MPC uses a vehicle dynamics model to predict the future states of the vehicle for a given prediction horizon. However, in order to achieve real-time path control, the computational load is usually large, which leads to short prediction horizons. To deal with the computational load, the control algorithm can be parallelized on the graphics processing unit (GPU). In contrast to the widely used stochastic methods, in this paper we propose a deterministic approach based on grid search. Our approach focuses on systematically discovering the search area with different levels of granularity. To achieve this, we split the optimization algorithm into multiple iterations. The best sequence of each iteration is then used as an initial solution to the next iteration. The granularity increases, resulting in smooth and predictable steering angle sequences. We present a novel GPU-based algorithm and show its accuracy and realtime abilities with a number of real-world experiments.},
  language  = {en}
}