@article{NiemuellerFerreinBecketal.2010,
  author    = {Niem{\"u}ller, Tim and Ferrein, Alexander and Beck, Daniel and Lakemeyer, Gerhard},
  title     = {Design Principles of the Component-Based Robot Software Framework Fawkes},
  series = {Simulation, Modeling, and Programming for Autonomous Robots},
  journal   = {Simulation, Modeling, and Programming for Autonomous Robots},
  pages     = {300 -- 311},
  year      = {2010},
  language  = {en}
}
@article{NiemuellerFerreinEckeletal.2011,
  author    = {Niem{\"u}ller, Tim and Ferrein, Alexander and Eckel, Gerhard and Pirro, David and Podbregar, Patrick and Kellner, Tobias and Rath, Christoph and Steinbauer, Gerald},
  title     = {Providing Ground-truth Data for the Nao Robot Platform},
  series = {RoboCup 2010: Robot Soccer World Cup XIV},
  journal   = {RoboCup 2010: Robot Soccer World Cup XIV},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-642-20217-9},
  pages     = {133 -- 144},
  year      = {2011},
  language  = {en}
}
@article{NiemuellerFerreinLakemeyer2010,
  author    = {Niem{\"u}ller, Tim and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {A Lua-based Behavior Engine for Controlling the Humanoid Robot Nao},
  series = {RoboCup 2009: Robot Soccer World Cup XIII},
  journal   = {RoboCup 2009: Robot Soccer World Cup XIII},
  pages     = {240 -- 251},
  year      = {2010},
  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{RensFerrein2013,
  author    = {Rens, Gavin and Ferrein, Alexander},
  title     = {Belief-node condensation for online POMDP algorithms},
  publisher = {IEEE},
  address   = {New York},
  pages     = {1 -- 7},
  year      = {2013},
  abstract  = {Slightly extended version of the paper accepted at the Robotics and Artificial Intelligence Workshop, a special track of IEEE AFRICON-2013, held in Mauritius, 9-12 September 2013},
  language  = {en}
}
@article{RensVarzinczakMeyeretal.2010,
  author    = {Rens, Gavin and Varzinczak, Ivan and Meyer, Thomas and Ferrein, Alexander},
  title     = {A Logic for Reasoning about Actions and Explicit Observations},
  series = {AI 2010: Advances in Artificial Intelligence 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010. Proceedings},
  journal   = {AI 2010: Advances in Artificial Intelligence 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010. Proceedings},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-642-17431-5},
  pages     = {395 -- 404},
  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}
}
@article{SchifferFerrein2018,
  author    = {Schiffer, Stefan and Ferrein, Alexander},
  title     = {ERIKA—Early Robotics Introduction at Kindergarten Age},
  series = {Multimodal Technologies Interact},
  volume    = {2},
  journal   = {Multimodal Technologies Interact},
  number    = {4},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2414-4088},
  doi       = {10.3390/mti2040064},
  pages     = {15},
  year      = {2018},
  abstract  = {In this work, we report on our attempt to design and implement an early introduction to basic robotics principles for children at kindergarten age. One of the main challenges of this effort is to explain complex robotics contents in a way that pre-school children could follow the basic principles and ideas using examples from their world of experience. What sets apart our effort from other work is that part of the lecturing is actually done by a robot itself and that a quiz at the end of the lesson is done using robots as well. The humanoid robot Pepper from Softbank, which is a great platform for human-robot interaction experiments, was used to present a lecture on robotics by reading out the contents to the children making use of its speech synthesis capability. A quiz in a Runaround-game-show style after the lecture activated the children to recap the contents they acquired about how mobile robots work in principle. In this quiz, two LEGO Mindstorm EV3 robots were used to implement a strongly interactive scenario. Besides the thrill of being exposed to a mobile robot that would also react to the children, they were very excited and at the same time very concentrated. We got very positive feedback from the children as well as from their educators. To the best of our knowledge, this is one of only few attempts to use a robot like Pepper not as a tele-teaching tool, but as the teacher itself in order to engage pre-school children with complex robotics contents.},
  language  = {en}
}
@article{SchifferFerreinLakemeyer2011,
  author    = {Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Reasoning with Qualitative Positional Information for Domestic Domains in the Situation Calculus},
  series = {Journal of Intelligent \& Robotic Systems},
  volume    = {63},
  journal   = {Journal of Intelligent \& Robotic Systems},
  number    = {2},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {0921-0296},
  pages     = {273 -- 300},
  year      = {2011},
  language  = {en}
}
@article{SchifferFerreinLakemeyer2010,
  author    = {Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011)},
  series = {Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011)},
  journal   = {Proceedings of the Fourth International Conference on Intelligent Robotics and Applications (ICIRA 2011)},
  pages     = {1 -- 10},
  year      = {2010},
  language  = {en}
}