@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}
}
@inproceedings{FerreinMaierMuehlbacheretal.2015,
  author    = {Ferrein, Alexander and Maier, Christopher and M{\"u}hlbacher, Clemens and Niemueller, Tim and Steinbauer, Gerald and Vassos, Stravros},
  title     = {Controlling Logistics Robots with the Action-based Language YAGI},
  series = {Proceedings of the 2015 IROS Workshop on Workshop on Task Planning for Intelligent Robots in Service and Manufacturing},
  booktitle = {Proceedings of the 2015 IROS Workshop on Workshop on Task Planning for Intelligent Robots in Service and Manufacturing},
  year      = {2015},
  language  = {en}
}
@inproceedings{FerreinMaierMuehlbacheretal.2016,
  author    = {Ferrein, Alexander and Maier, Christopher and M{\"u}hlbacher, Clemens and Niem{\"u}ller, Tim and Steinbauer, Gerald and Vassos, Stravros},
  title     = {Controlling logistics robots with the action-based language YAGI},
  series = {Intelligent Robotics and Applications: 9th International Conference, ICIRA 2016, Tokyo, Japan, August 22-24, 2016, Proceedings, Part I},
  volume    = {9834},
  booktitle = {Intelligent Robotics and Applications: 9th International Conference, ICIRA 2016, Tokyo, Japan, August 22-24, 2016, Proceedings, Part I},
  publisher = {Springer},
  isbn      = {978-3-319-43505-3 (Print)},
  doi       = {10.1007/978-3-319-43506-0_46},
  pages     = {525 -- 537},
  year      = {2016},
  language  = {en}
}
@inproceedings{HofmannMatareSchifferetal.2018,
  author    = {Hofmann, Till and Matar{\´e}, Victor and Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Constraint-based online transformation of abstract plans into executable robot actions},
  series = {Proceedings of the 2018 AAAI Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy},
  booktitle = {Proceedings of the 2018 AAAI Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy},
  pages     = {549 -- 553},
  year      = {2018},
  language  = {en}
}
@inproceedings{FerreinMeessenLimpertetal.2021,
  author    = {Ferrein, Alexander and Meeßen, Marcus and Limpert, Nicolas and Schiffer, Stefan},
  title     = {Compiling ROS Schooling Curricula via Contentual Taxonomies},
  series = {Robotics in Education},
  booktitle = {Robotics in Education},
  editor    = {Lepuschitz, Wilfried},
  publisher = {Springer},
  address   = {Cham},
  isbn      = {978-3-030-67411-3},
  doi       = {10.1007/978-3-030-67411-3_5},
  pages     = {49 -- 60},
  year      = {2021},
  language  = {en}
}
@article{FerreinHermannsLakemeyer2006,
  author    = {Ferrein, Alexander and Hermanns, Lutz and Lakemeyer, Gerhard},
  title     = {Comparing Sensor Fusion Techniques for Ball Position Estimation / Ferrein, Alexander ; Hermanns, Lutz ; Lakemeyer, Gerhard},
  series = {RoboCup 2005: Robot Soccer World Cup IX},
  journal   = {RoboCup 2005: Robot Soccer World Cup IX},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {978-3-540-35437-6},
  pages     = {154 -- 165},
  year      = {2006},
  language  = {en}
}
@inproceedings{SteinbauerFerrein2019,
  author    = {Steinbauer, Gerald and Ferrein, Alexander},
  title     = {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.},
  series = {CEUR workshop proceedings},
  booktitle = {CEUR workshop proceedings},
  number    = {Vol-2325},
  issn      = {1613-0073},
  pages     = {46 Seiten},
  year      = {2019},
  language  = {en}
}
@inproceedings{DeyElsenFerreinetal.2021,
  author    = {Dey, Thomas and Elsen, Ingo and Ferrein, Alexander and Frauenrath, Tobias and Reke, Michael and Schiffer, Stefan},
  title     = {CO2 Meter: a do-it-yourself carbon dioxide measuring device for the classroom},
  series = {PETRA 2021: The 14th PErvasive Technologies Related to Assistive Environments Conference},
  booktitle = {PETRA 2021: The 14th PErvasive Technologies Related to Assistive Environments Conference},
  editor    = {Makedon, Fillia},
  publisher = {Association for Computing Machinery},
  address   = {New York},
  isbn      = {9781450387927},
  doi       = {10.1145/3453892.3462697},
  pages     = {292 -- 299},
  year      = {2021},
  abstract  = {In this paper we report on CO2 Meter, a do-it-yourself carbon dioxide measuring device for the classroom. Part of the current measures for dealing with the SARS-CoV-2 pandemic is proper ventilation in indoor settings. This is especially important in schools with students coming back to the classroom even with high incidents rates. Static ventilation patterns do not consider the individual situation for a particular class. Influencing factors like the type of activity, the physical structure or the room occupancy are not incorporated. Also, existing devices are rather expensive and often provide only limited information and only locally without any networking. This leaves the potential of analysing the situation across different settings untapped. Carbon dioxide level can be used as an indicator of air quality, in general, and of aerosol load in particular. Since, according to the latest findings, SARS-CoV-2 can be transmitted primarily in the form of aerosols, carbon dioxide may be used as a proxy for the risk of a virus infection. Hence, schools could improve the indoor air quality and potentially reduce the infection risk if they actually had measuring devices available in the classroom. Our device supports schools in ventilation and it allows for collecting data over the Internet to enable a detailed data analysis and model generation. First deployments in schools at different levels were received very positively. A pilot installation with a larger data collection and analysis is underway.},
  language  = {en}
}
@article{ClaerFerreinSchiffer2019,
  author    = {Claer, Mario and Ferrein, Alexander and Schiffer, Stefan},
  title     = {Calibration of a Rotating or Revolving Platform with a LiDAR Sensor},
  series = {Applied Sciences},
  volume    = {Volume 9},
  journal   = {Applied Sciences},
  number    = {issue 11, 2238},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2076-3417},
  doi       = {10.3390/app9112238},
  pages     = {18 Seiten},
  year      = {2019},
  language  = {en}
}
@article{SchifferFerreinLakemeyer2012,
  author    = {Schiffer, Stefan and Ferrein, Alexander and Lakemeyer, Gerhard},
  title     = {Caesar: an intelligent domestic service robot},
  series = {Intelligent service robotics},
  volume    = {5},
  journal   = {Intelligent service robotics},
  number    = {4},
  publisher = {Springer},
  address   = {Berlin},
  issn      = {1861-2776},
  doi       = {10.1007/s11370-012-0118-y},
  pages     = {259 -- 276},
  year      = {2012},
  abstract  = {In this paper we present CAESAR, an intelligent domestic service robot. In domestic settings for service robots complex tasks have to be accomplished. Those tasks benefit from deliberation, from robust action execution and from flexible methods for human-robot interaction that account for qualitative notions used in natural language as well as human fallibility. Our robot CAESAR deploys AI techniques on several levels of its system architecture. On the low-level side, system modules for localization or navigation make, for instance, use of path-planning methods, heuristic search, and Bayesian filters. For face recognition and human-machine interaction, random trees and well-known methods from natural language processing are deployed. For deliberation, we use the robot programming and plan language READYLOG, which was developed for the high-level control of agents and robots; it allows combining programming the behaviour using planning to find a course of action. READYLOG is a variant of the robot programming language Golog. We extended READYLOG to be able to cope with qualitative notions of space frequently used by humans, such as "near" and "far". This facilitates human-robot interaction by bridging the gap between human natural language and the numerical values needed by the robot. Further, we use READYLOG to increase the flexible interpretation of human commands with decision-theoretic planning. We give an overview of the different methods deployed in CAESAR and show the applicability of a system equipped with these AI techniques in domestic service robotics},
  language  = {en}
}