@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{FerreinSiebelSteinbauer2010, author = {Ferrein, Alexander and Siebel, Nils T. and Steinbauer, Gerald}, title = {Hybrid control for autonomous systems — Integrating learning, deliberation and reactive control}, series = {Robotics and Autonomous Systems}, volume = {58}, journal = {Robotics and Autonomous Systems}, number = {9}, isbn = {0921-8890}, pages = {1037 -- 1038}, year = {2010}, 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{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} } @article{FerreinSchifferLakemeyer2009, author = {Ferrein, Alexander and Schiffer, Stefan and Lakemeyer, Gerhard}, title = {Embedding fuzzy controllers in golog / Ferrein, Alexander ; Schiffer, Stefan ; Lakemeyer, Gerhard}, series = {IEEE International Conference on Fuzzy Systems, 2009. FUZZ-IEEE 2009}, journal = {IEEE International Conference on Fuzzy Systems, 2009. FUZZ-IEEE 2009}, publisher = {IEEE}, address = {New York}, isbn = {978-1-4244-3596-8}, pages = {894 -- 899}, year = {2009}, language = {en} } @article{FerreinFritzLakemeyer2004, author = {Ferrein, Alexander and Fritz, Christian and Lakemeyer, Gerhard}, title = {On-Line Decision-Theoretic Golog for Unpredictable Domains / Ferrein, Alexander ; Fritz, Christian ; Lakemeyer, Gerhard}, series = {KI 2004: Advances in Artificial Intelligence : 27th Annual German Conference on AI, KI 2004, Ulm, Germany, September 20-24, 2004. Proceedings}, journal = {KI 2004: Advances in Artificial Intelligence : 27th Annual German Conference on AI, KI 2004, Ulm, Germany, September 20-24, 2004. Proceedings}, publisher = {Springer}, address = {Berlin}, pages = {322 -- 336}, year = {2004}, language = {en} } @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} } @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} }