@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}
}
@inproceedings{NiemuellerLakemeyerFerrein2013,
  author    = {Niem{\"u}ller, Tim and Lakemeyer, Gerhard and Ferrein, Alexander},
  title     = {Incremental task-level reasoning in a competitive factory automation scenario},
  series = {Designing intelligent robots : reintegrating AI II ; papers from the AAAI spring symposium ; [held March 25 - 27, 2013 in Palo Alto, California, USA, on the campus of Stanford University]. (Technical Report / Association for the Advancement of Artificial Intelligence ; 2013,4)},
  booktitle = {Designing intelligent robots : reintegrating AI II ; papers from the AAAI spring symposium ; [held March 25 - 27, 2013 in Palo Alto, California, USA, on the campus of Stanford University]. (Technical Report / Association for the Advancement of Artificial Intelligence ; 2013,4)},
  editor    = {Boots, Byron},
  organization    = {American Association for Artificial Intelligence},
  isbn      = {9781577356011},
  pages     = {43 -- 48},
  year      = {2013},
  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}
}
@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}
}
@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{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}
}
@inproceedings{BooysenMathewKnoxetal.2015,
  author    = {Booysen, Tracy and Mathew, Thomas and Knox, Greig and Fong, W. K. and St{\"u}ttgen, Marcel and Ferrein, Alexander and Steinbauer, Gerald},
  title     = {The Scarab Project},
  series = {ICRA 2015 Developing Countries Forum},
  booktitle = {ICRA 2015 Developing Countries Forum},
  pages     = {3 S.},
  year      = {2015},
  abstract  = {Urban Search and Rescue (USAR) is an active research field in the robotics community. Despite recent advances for many open research questions, these kind of systems are not widely used in real rescue missions. One reason is that such systems are complex and not (yet) very reliable; another is that one has to be an robotic expert to run such a system. Moreover, available rescue robots are very expensive and the benefits of using them are still limited. In this paper, we present the Scarab robot, an alternative design for a USAR robot. The robot is light weight, humanpackable and its primary purpose is that of extending the rescuer's capability to sense the disaster site. The idea is that a responder throws the robot to a certain spot. The robot survives the impact with the ground and relays sensor data such as camera images or thermal images to the responder's hand-held control unit from which the robot can be remotely controlled.},
  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}
}
@inproceedings{LimpertSchifferFerrein2015,
  author    = {Limpert, Nicolas and Schiffer, Stefan and Ferrein, Alexander},
  title     = {A Local Planner for Ackermann-Driven Vehicles in ROS SBPL},
  series = {Proceedings of the International Conference on Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech), 2015},
  booktitle = {Proceedings of the International Conference on Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech), 2015},
  doi       = {10.1109/RoboMech.2015.7359518},
  pages     = {172 -- 177},
  year      = {2015},
  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{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{NiemuellerFerreinReuteretal.2015,
  author    = {Niemueller, Tim and Ferrein, Alexander and Reuter, Sebastian and Jeschke, Sabina and Lakemeyer, Gerhard},
  title     = {The RoboCup Logistics League as a Holistic Multi-Robot Smart Factory Benchmark},
  series = {Proceedings of the IROS 2015 Open forum on evaluation of results, replication of experiments and benchmarking in robotics research},
  booktitle = {Proceedings of the IROS 2015 Open forum on evaluation of results, replication of experiments and benchmarking in robotics research},
  pages     = {3 S.},
  year      = {2015},
  abstract  = {With autonomous mobile robots receiving increased attention in industrial contexts, the need for benchmarks becomes more and more an urgent matter. The RoboCup Logistics League (RCLL) is one specific industry-inspired scenario focusing on production logistics within a Smart Factory. In this paper, we describe how the RCLL allows to assess the performance of a group of robots within the scenario as a whole, focusing specifically on the coordination and cooperation strategies and the methods and components to achieve them. We report on recent efforts to analyze performance of teams in 2014 to understand the implications of the current grading scheme, and derived criteria and metrics for performance assessment based on Key Performance Indicators (KPI) adapted from classic factory evaluation. We reflect on differences and compatibility towards RoCKIn, a recent major benchmarking European project.},
  language  = {en}
}
@inproceedings{EichenbaumNikolovskiMuelhensetal.2023,
  author    = {Eichenbaum, Julian and Nikolovski, Gjorgji and M{\"u}lhens, Leon and Reke, Michael and Ferrein, Alexander and Scholl, Ingrid},
  title     = {Towards a lifelong mapping approach using Lanelet 2 for autonomous open-pit mine operations},
  series = {2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)},
  booktitle = {2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)},
  publisher = {IEEE},
  isbn      = {979-8-3503-2069-5 (Online)},
  doi       = {10.1109/CASE56687.2023.10260526},
  pages     = {8 Seiten},
  year      = {2023},
  abstract  = {Autonomous agents require rich environment models for fulfilling their missions. High-definition maps are a well-established map format which allows for representing semantic information besides the usual geometric information of the environment. These are, for instance, road shapes, road markings, traffic signs or barriers. The geometric resolution of HD maps can be as precise as of centimetre level. In this paper, we report on our approach of using HD maps as a map representation for autonomous load-haul-dump vehicles in open-pit mining operations. As the mine undergoes constant change, we also need to constantly update the map. Therefore, we follow a lifelong mapping approach for updating the HD maps based on camera-based object detection and GPS data. We show our mapping algorithm based on the Lanelet 2 map format and show our integration with the navigation stack of the Robot Operating System. We present experimental results on our lifelong mapping approach from a real open-pit mine.},
  language  = {en}
}
@incollection{NiemuellerReuterEwertetal.2015,
  author    = {Niemueller, Tim and Reuter, Sebastian and Ewert, Daniel and Ferrein, Alexander and Jeschke, Sabina and Lakemeyer, Gerhard},
  title     = {Decisive Factors for the Success of the Carologistics RoboCup Team in the RoboCup Logistics League 2014},
  series = {RoboCup 2014: Robot World Cup XVIII},
  booktitle = {RoboCup 2014: Robot World Cup XVIII},
  publisher = {Springer},
  isbn      = {978-3-319-18615-3},
  pages     = {155 -- 167},
  year      = {2015},
  language  = {en}
}
@inproceedings{NiemuellerReuterEwertetal.2016,
  author    = {Niemueller, Tim and Reuter, Sebastian and Ewert, Daniel and Ferrein, Alexander and Jeschke, Sabina and Lakemeyer, Gerhard},
  title     = {The Carologistics Approach to Cope with the Increased Complexity and New Challenges of the RoboCup Logistics League 2015},
  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_4},
  pages     = {47 -- 59},
  year      = {2016},
  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 '21: Proceedings of the 14th Pervasive Technologies Related to Assistive Environments Conference},
  booktitle = {PETRA '21: Proceedings of 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}
}
@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},
  address   = {New York, NY},
  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}
}