@article{FerreinJacobsLakemeyer2005, author = {Ferrein, Alexander and Jacobs, Stefan and Lakemeyer, Gerhard}, title = {Unreal Golog Bots / Jacobs, Stefan ; Ferrein, Alexander ; Lakemeyer, Gerhard}, series = {IJCAI-05 Workshop on Reasoning, Representation, and Learning in Computer Games}, journal = {IJCAI-05 Workshop on Reasoning, Representation, and Learning in Computer Games}, pages = {31 -- 36}, year = {2005}, language = {en} } @article{FerreinBoehnstedtLakemeyer2007, author = {Ferrein, Alexander and B{\"o}hnstedt, Lutz and Lakemeyer, Gerhard}, title = {Options in readylog reloaded -- generating decision-theoretic plan libraries in golog / B{\"o}hnstedt, Lutz ; Ferrein, Alexander ; Lakemeyer, Gerhard}, series = {KI 2007: advances in artificial intelligence : 30th Annual German Conference on AI, KI 2007, Osnabr{\"u}ck, Germany, September 10 - 13, 2007 ; proceedings}, journal = {KI 2007: advances in artificial intelligence : 30th Annual German Conference on AI, KI 2007, Osnabr{\"u}ck, Germany, September 10 - 13, 2007 ; proceedings}, publisher = {Springer}, address = {Berlin}, isbn = {978-3-540-74564-8}, pages = {352 -- 366}, year = {2007}, language = {en} } @inproceedings{NeumannFerreinKallweitetal.2014, author = {Neumann, Tobias and Ferrein, Alexander and Kallweit, Stephan and Scholl, Ingrid}, title = {Towards a mobile mapping robot for underground mines}, series = {7th Conference of Robotics and Mechatronics : RobMech 2014 : 27th and 28th Nov. 2014, Cape Town}, booktitle = {7th Conference of Robotics and Mechatronics : RobMech 2014 : 27th and 28th Nov. 2014, Cape Town}, organization = {Conference of Robotics and Mechatronics <7, 2014, Cape Town, South Africa>}, pages = {1 -- 6}, year = {2014}, language = {en} } @article{FerreinMeyer2012, author = {Ferrein, Alexander and Meyer, Thomas}, title = {A Brief Overview of Artificial Intelligence in South Africa}, series = {AI Magazine}, volume = {33}, journal = {AI Magazine}, number = {1}, publisher = {AAAI}, address = {Menlo Park}, issn = {0738-4602}, doi = {10.1609/aimag.v33i1.2357}, pages = {99 -- 101}, year = {2012}, abstract = {South Africa in recent years is the establishment of a number of research hubs involved in AI activities ranging from mobile robotics and computational intelligence, to knowledge representation and reasoning, and human language technologies. In this survey we take the reader through a quick tour of the research being conducted at these hubs, and touch on an initiative to maintain and extend the current level of interest in AI research in the country.}, language = {en} } @article{SchulteTiggesFoersterNikolovskietal.2022, author = {Schulte-Tigges, Joschua and F{\"o}rster, Marco and Nikolovski, Gjorgji and Reke, Michael and Ferrein, Alexander and Kaszner, Daniel and Matheis, Dominik and Walter, Thomas}, title = {Benchmarking of various LiDAR sensors for use in self-driving vehicles in real-world environments}, series = {Sensors}, volume = {22}, journal = {Sensors}, number = {19}, publisher = {MDPI}, address = {Basel}, issn = {1424-8220}, doi = {10.3390/s22197146}, pages = {20 Seiten}, year = {2022}, abstract = {Abstract In this paper, we report on our benchmark results of the LiDAR sensors Livox Horizon, Robosense M1, Blickfeld Cube, Blickfeld Cube Range, Velodyne Velarray H800, and Innoviz Pro. The idea was to test the sensors in different typical scenarios that were defined with real-world use cases in mind, in order to find a sensor that meet the requirements of self-driving vehicles. For this, we defined static and dynamic benchmark scenarios. In the static scenarios, both LiDAR and the detection target do not move during the measurement. In dynamic scenarios, the LiDAR sensor was mounted on the vehicle which was driving toward the detection target. We tested all mentioned LiDAR sensors in both scenarios, show the results regarding the detection accuracy of the targets, and discuss their usefulness for deployment in self-driving cars.}, language = {en} } @article{FerreinSteinbauerMcPhillipsetal.2007, author = {Ferrein, Alexander and Steinbauer, Gerald and McPhillips, Graeme and Potgieter, Anet}, title = {Establishing the RoboCup Standard League in Africa - applying for the RoboCup Standard League with a German-Austrian-South African Research Project}, pages = {1 -- 5}, year = {2007}, language = {en} } @article{FerreinFritzLakemeyer2005, author = {Ferrein, Alexander and Fritz, Christian and Lakemeyer, Gerhard}, title = {Using Golog for Deliberation and Team Coordination in Robotic Soccer / Ferrein, Alexander ; Fritz, Christian ; Lakemeyer, Gerhard}, series = {K{\"u}nstliche Intelligenz : KI. 19 (2005), H. 1}, journal = {K{\"u}nstliche Intelligenz : KI. 19 (2005), H. 1}, isbn = {0933-1875}, pages = {24 -- 30}, year = {2005}, 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} } @inproceedings{HofmannMatareNeumannetal.2018, author = {Hofmann, Till and Matar{\´e}, Victor and Neumann, Tobias and Sch{\"o}nitz, Sebastian and Henke, Christoph and Limpert, Nicolas and Niemueller, Tim and Ferrein, Alexander and Jeschke, Sabina and Lakemeyer, Gerhard}, title = {Enhancing Software and Hardware Reliability for a Successful Participation in the RoboCup Logistics League 2017}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-00308-1}, doi = {10.1007/978-3-030-00308-1_40}, pages = {486 -- 497}, year = {2018}, language = {en} } @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} }