Publications

• [2010,techreport] bibtex
  H. Burkhard, F. Holzhauer, T. Krause, H. Mellmann, C. N. Ritter, O. Welter, and Y. Xu, "NAO-Team Humboldt 2010," Humboldt Universität zu Berlin2010.
  @TECHREPORT{,
  author = {Hans-Dieter Burkhard and Florian Holzhauer and Thomas Krause and Heinrich Mellmann and Claas Norman Ritter and Oliver Welter and Yuan Xu},
  title = {NAO-Team Humboldt 2010},
  institution = {Humboldt Universität zu Berlin},
  year = {2010},
  owner = {Heinrich Mellmann},
  timestamp = {2010.02.03},
  url = {http://www.naoteamhumboldt.de/wp-content/uploads/2010/02/NaoTH10Description.pdf}
}
• [2009,inproceedings] bibtex
  F. A. Bertsch, "Visuelle Gestenerkennung zur Interaktion zwischen Mensch und Roboter (in German)," in Proceedings of 15. Workshop Farbbildverarbeitung 2009, Berlin, 2009.
  @INPROCEEDINGS{Bertsch2009,
  author = {Bertsch, F.A.},
  title = {Visuelle {G}estenerkennung zur {I}nteraktion zwischen {M}ensch und {R}oboter (in {G}erman)},
  booktitle = {Proceedings of 15. Workshop Farbbildverarbeitung 2009},
  year = {2009},
  address = {Berlin},
  month = {08.-09.10.2009},
  organization = {GfaI},
  owner = {mellmann},
  timestamp = {2009.12.06}
}
• [2009,techreport] bibtex
  H. Burkhard, F. Holzhauer, T. Krause, H. Mellmann, C. N. Ritter, O. Welter, and Y. Xu, "NAO-Team Humboldt 2009," Humboldt Universität zu Berlin2009.
  @TECHREPORT{,
  author = {Hans-Dieter Burkhard and Florian Holzhauer and Thomas Krause and Heinrich Mellmann and Claas Norman Ritter and Oliver Welter and Yuan Xu},
  title = {NAO-Team Humboldt 2009},
  institution = {Humboldt Universität zu Berlin},
  year = {2009},
  owner = {Heinrich Mellmann},
  timestamp = {2010.02.03},
  url = {http://www.naoteamhumboldt.de/wp-content/uploads/2010/02/NaoTH09Report_final.pdf}
}
• [2009,phdthesis] bibtex
  D. Göhring, "Constraint Based World Modeling for Multi Agent Systems in Dynamic Environments," PhD Thesis , 2009.
  @PHDTHESIS{goehring09thesis,
  author = {Daniel Göhring},
  title = {Constraint Based World Modeling for Multi Agent Systems in Dynamic Environments},
  school = {Humboldt-Universität zu Berlin},
  year = {2009},
  owner = {goehring},
  timestamp = {2009.12.05}
}
• [2009,inproceedings] bibtex
  F. A. Bertsch and V. V. Hafner, "Real-time dynamic visual gesture recognition in human-robot interaction," in Proceedings of Humanoids 2009, 9th IEEE-RAS International Conference on Humanoid Robots, 2009.
  @INPROCEEDINGS{BertschHafner09a,
  author = {Bertsch, F.A. and Hafner, V.V.},
  title = {Real-time dynamic visual gesture recognition in human-robot interaction},
  booktitle = {Proceedings of Humanoids 2009, 9th IEEE-RAS International Conference on Humanoid Robots},
  year = {2009},
  note = {to appear},
  owner = {gxy},
  timestamp = {2009.12.06}
}
• [2009,inproceedings] bibtex
  F. A. Bertsch and V. V. Hafner, "Gesture recognition as a prerequisite of imitation learning in human-humanoid experiments," in Proceedings of EpiRob09, Ninth International Conference on Epigenetic Robotics, 2009, p. pp. 197-198.
  @INPROCEEDINGS{BertschHafner09b,
  author = {Bertsch, F.A. and Hafner, V.V.},
  title = {Gesture recognition as a prerequisite of imitation learning in human-humanoid experiments},
  booktitle = {Proceedings of EpiRob09, Ninth International Conference on Epigenetic Robotics},
  year = {2009},
  editor = {Lola Canamero, Pierre-Yves Oudeyer, Christian Balkenius},
  pages = {pp. 197-198},
  organization = {Lund University Cognitive Studies, 146},
  owner = {gxy},
  timestamp = {2009.12.06}
}
• [2009,inproceedings] bibtex
  D. Göhring, H. Mellmann, and H. Burkhard, "Constraint Based World Modeling in Mobile Robotics," in Proc. IEEE International Conference on Robotics and Automation ICRA 2009, 2009, pp. 2538-2543.
  @INPROCEEDINGS{ICRA-GoehringMellmann-09,
  author = {Daniel Göhring and Heinrich Mellmann and Hans-Dieter Burkhard},
  title = {Constraint Based World Modeling in Mobile Robotics},
  booktitle = {Proc. IEEE International Conference on Robotics and Automation ICRA 2009},
  year = {2009},
  pages = {2538--2543},
  abstract = {In this paper we present a novel approach using constraint based techniques for world modeling, i.e. self localization and object modeling. Within the last years, we have seen a reduction of landmarks such as beacons or colored goals within the RoboCup domain. Using other features as line information becomes more important. Using such sensor data is tricky, especially when the resulting position belief is stretched over a larger area. Constraints can overcome this limitations, as they have several advantages: they can represent large distributions and are easy to store and to communicate to other robots. Propagation of several constraints can be computationally cheap. Even high dimensional belief functions can be used. We will describe a sample implementation and show experimental results.},
  doi = {10.1109/ROBOT.2009.5152208},
  keywords = {Autonomous Agents, Humanoid Robots, Localization},
  owner = {mellmann},
  timestamp = {2009.05.14}
}
• [2009,inproceedings] bibtex
  H. Mellmann, "Active Landmark Selection for Vision-Based Self-Localization," in Proceedings of the Workshop on Concurrency, Specification, and Programming CS\&P 2009, Kraków-Przegorzaly, Poland, 2009, pp. 398-405.
  @INPROCEEDINGS{Mellmann2009,
  author = {Heinrich Mellmann},
  title = {Active Landmark Selection for Vision-Based Self-Localization},
  booktitle = {Proceedings of the Workshop on Concurrency, Specification, and Programming CS\&P 2009},
  year = {2009},
  volume = {Volume 2},
  pages = {398--405},
  address = {Kraków-Przegorzaly, Poland},
  month = {28--30 September},
  abstract = {The most of the vision based self-localization methods are using landmarks to estimate the position of the robot. The results of those methods depend highly on the precision of the perceptual information provided by the vision system. Depending on situation, some landmarks provide more certain measurements than others. We present a general criterion to predict the sensitivity of measurements concerning errors. In addition an algorithm is presented for automatic selection of optimal landmarks. This enables the robot to choose actively those landmarks that provide the highest certainty, which leads to better localization results. We demonstrate the performance and accuracy of the algorithm through a series of experiments.},
  keywords = {RoboCup, localization, landmark selection, active vision, humanoid robots, Aibo},
  owner = {admin},
  timestamp = {2009.10.04},
  url = {http://csp2009.mimuw.edu.pl/proc.php}
}
• [2009,phdthesis] bibtex
  V. Uc-Cetina, "Reinforcement Learning in Continuous State and Action Spaces," PhD Thesis , 2009.
  @PHDTHESIS{Uc-Cetina09thesis,
  author = {Vìctor Uc-Cetina},
  title = {Reinforcement Learning in Continuous State and Action Spaces},
  school = {Humboldt-Universität zu Berlin},
  year = {2009}
}
• [2008,article] bibtex
  D. Göhring, H. Mellmann, K. Gerasymova, and H. Burkhard, "Constraint Based World Modeling," Fundamenta Informaticae, vol. 85, iss. Number 1-4, pp. 123-137, 2008.
  @ARTICLE{FI-GoehringMellmannGerasimova-08,
  author = {Daniel Göhring and Heinrich Mellmann and Kataryna Gerasymova and Hans-Dieter Burkhard},
  title = {Constraint Based World Modeling},
  journal = {Fundamenta Informaticae},
  year = {2008},
  volume = {85},
  pages = {123-137},
  number = {Number 1-4},
  abstract = {Common approaches for robot navigation use Bayesian filters like particle filters, Kalman filters and their extended forms. We present an alternative and supplementing approach using constraint techniques based on spatial constraints between object positions. This yields several advantages. The robot can choose from a variety of belief functions, and the computational complexity is decreased by efficient algorithms. The paper investigates constraint propagation techniques under the special requirements of navigation tasks. Sensor data are noisy, but a lot of redundancies can be exploited to improve the quality of the result. We introduce two quality measures: The ambiguity measure for constraint sets defines the precision, while inconsistencies are measured by the inconsistency measure. The measures can be used for evaluating the available data and for computing best fitting hypothesis. A constraint propagation algorithm is presented.},
  owner = {mellmann},
  timestamp = {2008.08.05},
  url = {http://iospress.metapress.com/content/2051310891588554/}
}
• [2008,inproceedings] bibtex
  D. Göhring, H. Mellmann, and H. Burkhard, "Constraint Based Localization on a Humanoid Robot," in Proceedings of the Workshop on Concurrency, Specification, and Programming CS\&P 2008, 2008.
  @INPROCEEDINGS{Goehring2008,
  author = {Daniel Göhring and Heinrich Mellmann and Hans-Dieter Burkhard},
  title = {Constraint Based Localization on a Humanoid Robot},
  booktitle = {Proceedings of the Workshop on Concurrency, Specification, and Programming CS\&P 2008},
  year = {2008},
  abstract = {In this paper we will present an application for constraint based methods to self localize within the RoboCup domain. During a robotic soccer game, robots of a team need to know where they and their team mates are on the Field, therefore they need to localize themselves. For self localization, constraint based methods can be an e?ective alternative to classic Bayesian approaches as Kalman ?lters or Monte-Carlo methods. In this paper we will present, how constraint based techniques can be applied to a humanoid robot. Therefore we will implement constraint based methods in a humanoid robot "NAO" and see how the constraint based approach works within the Standard Platform League.},
  owner = {admin},
  timestamp = {2009.10.05}
}
• [2008,article] bibtex
  M. Jüngel and H. Mellmann, "Memory-Based State-Estimation," Fundamenta Informaticae, vol. 85, iss. Number 1-4, pp. 297-311, 2008.
  @ARTICLE{FI-JuengelMellmann-08,
  author = {Matthias Jüngel and Heinrich Mellmann},
  title = {Memory-Based State-Estimation},
  journal = {Fundamenta Informaticae},
  year = {2008},
  volume = {85},
  pages = {297--311},
  number = {Number 1-4},
  abstract = {In this paper we introduce a state-estimation method that uses a short-term memory to calculate the current state. A common way to solve state estimation problems is to use implementations of the Bayesian algorithm like Kalman filters or particle filters. When implementing a Bayesian filter several problems can arise. One difficulty is to obtain error models for the sensors and for the state transitions. The other difficulty is to find an adequate compromise between the accuracy of the belief probability distribution and the computational costs that are needed to update it. In this paper we show how a short-term memory of perceptions and actions can be used to calculate the state. In contrast to the Bayesian filter, this method does not need an internal representation of the state which is updated by the sensor and motion information. It is shown that this is especially useful when information of sparse sensors (sensors with non-unique measurements with respect of the state) has to be integrated.},
  owner = {mellmann},
  timestamp = {2008.08.05},
  url = {http://iospress.metapress.com/content/2051310891588554/}
}
• [2008,inproceedings] bibtex
  D. Göhring, H. Mellmann, and H. Burkhard, "Constraint Based Object State Modeling," in European Robotics Symposium 2008, Prague, Chech Republic, 2008, pp. 63-72.
  @INPROCEEDINGS{EUROS-GoehringMellmann-08,
  author = {Daniel Göhring and Heinrich Mellmann and Hans-Dieter Burkhard},
  title = {Constraint Based Object State Modeling},
  booktitle = {European Robotics Symposium 2008},
  year = {2008},
  editor = {Bruyninckx Herman and Preucil Libor and Kulich Miroslav},
  volume = {Volume 44/2008},
  series = {Springer Tracts in Advanced Robotics},
  pages = {63-72},
  address = {Prague, Chech Republic},
  publisher = {Springer Berlin / Heidelberg},
  note = {This volume (EUROS 2008)},
  abstract = {Modeling the environment is crucial for a mobile robot. Common approaches use Bayesian filters like particle filters, Kalman filters and their extended forms. We present an alternative and supplementing approach using constraint techniques based on spatial constraints between object positions. This yields several advantages: a) the agent can choose from a variety of belief functions, b) the computational complexity is decreased by efficient algorithms. The focus of the paper are constraint propagation techniques under the special requirements of navigation tasks.},
  doi = {10.1007/978-3-540-78317-6_7},
  owner = {mellmann},
  timestamp = {Dienstag, 12. Februar 2008},
  url = {http://www.springerlink.com/content/th6218453434x817}
}
• [2008,inproceedings] bibtex
  H. Mellmann, M. Jüngel, and M. Spranger, "Using Reference Objects to Improve Vision-Based Bearing Measurements," in Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems IROS 2008, Acropolis Convention Center, Nice, France, 2008, pp. 3939-3945.
  @INPROCEEDINGS{IROS-MellmannJuengelSpranger-08,
  author = {Heinrich Mellmann and Matthias Jüngel and Michael Spranger},
  title = {Using Reference Objects to Improve Vision-Based Bearing Measurements},
  booktitle = {Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems IROS 2008},
  year = {2008},
  pages = {3939--3945},
  address = {Acropolis Convention Center, Nice, France},
  month = {22--26 Sept.},
  publisher = {IEEE},
  abstract = {Robots perceiving its environment using cameras usually need a good representation of how the camera is aligned to the body and how the camera is rotated relative to the ground. This is especially important for bearing-based distance measurement. In this paper we show how to use reference objects to improve vision-based distance measurements to objects of unknown size. Several methods for different kinds of reference objects are introduced. These are objects of known size (like a ball), objects extending over the horizon (like goals and beacons), and objects with known shape on the ground (like field lines). We give a detailed description how to determine the rotation of the robot's camera relative to the ground, provide an error-estimation for all methods and describe the experiments we performed on an Aibo robot.},
  doi = {10.1109/IROS.2008.4651128},
  keywords = {Localization, Computer Vision, Recognition},
  owner = {mellmann},
  timestamp = {2008.08.05}
}
• [2008,inproceedings] bibtex
  D. Göhring, H. Mellmann, and H. Burkhard, "Constraint Based Belief Modeling," in RoboCup 2008: Robot Soccer World Cup XII, 2008.
  @INPROCEEDINGS{RC-GoehringMellmann-08,
  author = {Daniel Göhring and Heinrich Mellmann and Hans-Dieter Burkhard},
  title = {Constraint Based Belief Modeling},
  booktitle = {RoboCup 2008: Robot Soccer World Cup XII},
  year = {2008},
  editor = {Luca Iocchi and Hitoshi Matsubara and Alfredo Weitzenfeld and Changjiu Zhou},
  series = {Lecture Notes in Artificial Intelligence},
  publisher = {Springer},
  abstract = {In this paper we present a novel approach using constraint based techniques for world modeling, i.e. self localization and object modeling. Within the last years, we have seen a reduction of landmarks as beacons, colored goals, within the RoboCup domain. Using other fea- tures as line information becomes more important. Using such sensor data is tricky, especially when the resulting position belief is stretched over a larger area. Constraints can overcome this limitations, as they have several advantages: They can represent large distributions and are easy to store and to communicate to other robots. Propagation of a several constraints can be computationally cheap. Even high dimensional belief functions can be used. We will describe a sample implementation and show experimental results.},
  owner = {mellmann},
  timestamp = {2008.08.05}
}
• [2007,inproceedings] bibtex
  D. Hein, M. Hild, and R. Berger, "Evolution of Biped Walking Using Neural Oscillators and Physical Simulation," in RoboCup 2007: Robot Soccer World Cup XI, 2007.
  @INPROCEEDINGS{rc-07-hein_et_al,
  author = {Daniel Hein and Manfred Hild and Ralf Berger},
  title = {Evolution of Biped Walking Using Neural Oscillators and Physical Simulation},
  booktitle = {RoboCup 2007: Robot Soccer World Cup XI},
  year = {2007},
  series = {Lecture Notes in Artificial Intelligence},
  publisher = {Springer}
}
• [2007,article] bibtex
  D. Göhring and H. Burkhard, "Cooperative World Modeling in Dynamic Multi-Robot Environments," Fundamenta Informaticae, vol. 75, iss. 1–4, pp. 281-294, 2007.
  @ARTICLE{goehring07relation-funamenta,
  author = {Daniel Göhring and Hans-Dieter Burkhard},
  title = {Cooperative World Modeling in Dynamic Multi-Robot Environments},
  journal = {Fundamenta Informaticae},
  year = {2007},
  volume = {75},
  pages = {281--294},
  number = {1--4},
  owner = {goehring},
  publisher = {IOS Press},
  timestamp = {2007.05.04}
}
• [2007,inproceedings] bibtex
  T. Röfer, J. Brose, D. Göhring, M. Jüngel, T. Laue, and M. Risler, "GermanTeam 2007 – The German National RoboCup Team," in RoboCup 2007: Robot Soccer World Cup XI Preproceedings, 2007.
  @INPROCEEDINGS{2007:RoboCup-TDP-GermanTeam,
  author = {T. R\"ofer and J. Brose and D. G\"ohring and M. J\"ungel and T. Laue and M. Risler},
  title = {German{T}eam 2007 - {T}he {G}erman National {R}obo{C}up Team},
  booktitle = { RoboCup 2007: Robot Soccer World Cup XI Preproceedings },
  year = {2007},
  publisher = { RoboCup Federation }
}
• [2007,inproceedings] bibtex
  M. Jüngel, "Bearing-Only Localization for Mobile Robots," in Proceedings of the 2007 International Conference on Advanced Robotics (ICAR 2007), Jeju, Korea,, 2007.
  @INPROCEEDINGS{2007-08-icar07-Juengel-BearingOnlyLocalizationForMobileRobots,
  author = {Matthias Jüngel},
  title = {Bearing-Only Localization for Mobile Robots},
  booktitle = {Proceedings of the 2007 International Conference on Advanced Robotics (ICAR 2007), Jeju, Korea,},
  year = {2007},
  month = {August},
  file = {2007-08-icar07-Juengel-BearingOnlyLocalizationForMobileRobots.pdf:ATH-papers-pdf\\2007-08-icar07-Juengel-BearingOnlyLocalizationForMobileRobots.pdf:PDF},
  owner = {juengel},
  timestamp = {2007.08.02},
  url = {http://www.robocup.de/aiboteamhumboldt/papers/2007-08-icar07-Juengel-BearingOnlyLocalizationForMobileRobots.pdf}
}
• [2007,inproceedings] bibtex
  H. Burkhard and R. Berger, "Cases in Robotic Soccer.," in Case-Based Reasoning Research and Development, Proc. 7th International Conference on Case-Based Reasoning, ICCBR 2007, 2007, pp. 1-15.
  @INPROCEEDINGS{BurkhardBerger07Cases,
  author = {Hans-Dieter Burkhard and Ralf Berger},
  title = {Cases in Robotic Soccer.},
  booktitle = {Case-Based Reasoning Research and Development, Proc. 7th International Conference on Case-Based Reasoning, ICCBR 2007},
  year = {2007},
  editor = {Rosina O. Weber, Michael M. Richter},
  series = {Lecture Notes in Artificial Intelligence},
  pages = {1--15},
  publisher = {Springer}
}
• [2007,inproceedings] bibtex
  D. Göhring, "Cooperative Object Localization Using Line-Based Percept Communication," in RoboCup 2007: Robot Soccer World Cup XI, 2007.
  @INPROCEEDINGS{goehring07linerelation,
  author = {Daniel Göhring},
  title = {Cooperative Object Localization Using Line-Based Percept Communication},
  booktitle = {RoboCup 2007: Robot Soccer World Cup XI},
  year = {2007},
  editor = {U. Visser and F. Ribeiro and T. Ohashi and F. Dellaert},
  series = {Lecture Notes in Artificial Intelligence},
  publisher = {Springer}
}
• [2007,inproceedings] bibtex
  M. Jüngel, H. Mellmann, and M. Spranger, "Improving Vision-Based Distance Measurements using Reference Objects," in RoboCup 2007: Robot Soccer World Cup XI, 2007, pp. 89-100.
  @INPROCEEDINGS{RC-JuengelMellmannSpranger-07,
  author = {Matthias Jüngel and Heinrich Mellmann and Michael Spranger},
  title = {Improving Vision-Based Distance Measurements using Reference Objects},
  booktitle = {RoboCup 2007: Robot Soccer World Cup XI},
  year = {2007},
  editor = {Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert},
  volume = {Volume 5001/2008},
  series = {Lecture Notes in Computer Science},
  pages = {89-100},
  publisher = {Springer Berlin / Heidelberg},
  abstract = {Robots perceiving their environment using cameras usually need a good representation of how the camera is aligned to the body and how the camera is rotated relative to the ground. This is especially important for bearing-based distance measurements. In this paper we show how to use reference objects to improve vision-based distance measurements to objects of unknown size. Several methods for different kinds of reference objects are introduced. These are objects of known size (like a ball), objects extending over the horizon (like goals and beacons), and objects with known shape on the ground (like field lines). We give a detailed description how to determine the rotation of the robot's camera relative to the ground, provide an error-estimation for all methods and describe the experiments we performed on an Aibo robot.},
  doi = {10.1007/978-3-540-68847-1},
  keywords = {RoboCup, humanoid robots, Aibo, camera matrix, reference objects},
  owner = {mellmann},
  timestamp = {Freitag, 18. Juli 2008},
  url = {http://www.springerlink.com/content/y4730241r836k4l5}
}
• [2007,inproceedings] bibtex
  D. Göhring and J. Hoffmann, "Sensor Modeling Using Visual-Object Relation in Multi Robot Object Tracking," in RoboCup 2006: Robot Soccer World Cup X, 2007.
  @INPROCEEDINGS{rc-06-objectrelation,
  author = {Daniel Göhring and Jan Hoffmann},
  title = {{S}ensor {M}odeling {U}sing {V}isual-{O}bject {R}elation in {M}ulti {R}obot {O}bject {T}racking},
  booktitle = {RoboCup 2006: Robot Soccer World Cup X},
  year = {2007},
  series = {Lecture Notes in Artificial Intelligence},
  publisher = {Springer}
}
• [2007,phdthesis] bibtex
  M. Hild, "Neurodynamische Module zur Bewegungssteuerung autonomer mobiler Roboter (in German)," PhD Thesis , 2007.
  @PHDTHESIS{hild07thesis,
  author = {Manfred Hild},
  title = {Neurodynamische Module zur Bewegungssteuerung autonomer mobiler Roboter (in German)},
  school = {Humboldt-Universität zu Berlin},
  year = {2007}
}
• [2007,mastersthesis] bibtex
  D. Hein, "Simloid — Evolution of Biped Walking Using Physical Simulation," Master’s Dissertation , 2007.
  @MASTERSTHESIS{diplom-hein,
  author = {Daniel Hein},
  title = {Simloid -- Evolution of Biped Walking Using Physical Simulation},
  school = {Humboldt-Universität zu Berlin, Institut für Informatik},
  year = {2007},
  type = {Diploma Thesis}
}
• [2007,inproceedings] bibtex
  J. Hoffmann, "Proprioceptive Motion Modeling for Monte Carlo Localization," in RoboCup 2006: Robot Soccer World Cup X, 2007.
  @INPROCEEDINGS{rc-06-prop-motion-modelling,
  author = {Jan Hoffmann},
  title = {{P}roprioceptive {M}otion {M}odeling for {M}onte {C}arlo {L}ocalization},
  booktitle = {RoboCup 2006: Robot Soccer World Cup X},
  year = {2007},
  series = {Lecture Notes in Artificial Intelligence},
  publisher = {Springer}
}
• [2007,inproceedings] bibtex
  R. Berger and G. Lämmel, "Exploiting Past Experience. Case-Based Decision Support for Soccer Agents," in Proceedings of the 30th Annual German Conference on Artificial Intelligence (KI’07), 2007.
  @INPROCEEDINGS{berger-laemmel-wall-pass,
  author = {Ralf Berger and Gregor Lämmel},
  title = {Exploiting {Past} {E}xperience. {C}ase-{B}ased {D}ecision {S}upport for {S}occer {A}gents},
  booktitle = {Proceedings of the 30th Annual German Conference on Artificial Intelligence (KI'07)},
  year = {2007},
  publisher = {Springer}
}
• [2007,inproceedings] bibtex
  M. Jüngel and M. Risler, "Self-Localization Using Odometry and Horizontal Bearings to Landmarks," in RoboCup 2007: Robot Soccer World Cup XI, 2007.
  @INPROCEEDINGS{RC-JuengelRisler-08,
  author = {Matthias J{\"u}ngel and Max Risler},
  title = {Self-Localization Using Odometry and Horizontal Bearings to Landmarks},
  booktitle = {RoboCup 2007: Robot Soccer World Cup XI},
  year = {2007},
  editor = {U. Visser and F. Ribeiro and T. Ohashi and F. Dellaert},
  series = {Lecture Notes in Artificial Intelligence},
  publisher = {Springer}
}
• [2007,inproceedings] bibtex
  M. Jüngel, "Self-Localization Based on a Short-Term Memory of Bearings and Odometry," in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2007), San Diego, 2007.
  @INPROCEEDINGS{2007-10-iros07-Juengel-SelfLocalizationBasedOnAShortTermMemoryOfBearingsAndOdometry,
  author = {Matthias Jüngel},
  title = {Self-Localization Based on a Short-Term Memory of Bearings and Odometry},
  booktitle = {Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2007)},
  year = {2007},
  address = {San Diego},
  month = {October},
  file = {2007-10-iros07-Juengel-SelfLocalizationBasedOnAShortTermMemoryOfBearingsAndOdometry.pdf:ATH-papers-pdf\\2007-10-iros07-Juengel-SelfLocalizationBasedOnAShortTermMemoryOfBearingsAndOdometry.pdf:PDF},
  owner = {juengel},
  timestamp = {2007.08.02},
  url = {http://www.robocup.de/aiboteamhumboldt/papers/2007-10-iros07-Juengel-SelfLocalizationBasedOnAShortTermMemoryOfBearingsAndOdometry.pdf}
}
• [2006,inproceedings] bibtex
  D. Göhring and H. Burkhard, "Multi Robot Object Tracking and Self Localization Using Visual Percept Relations," in Proceedings of IEEE/RSJ International Conference of Intelligent Robots and Systems (IROS), pages 31–36, 2006.
  @INPROCEEDINGS{goehring06irosrelation,
  author = {Daniel Göhring and Hans-Dieter Burkhard},
  title = {Multi Robot Object Tracking and Self Localization Using Visual Percept Relations},
  booktitle = {Proceedings of IEEE/RSJ International Conference of Intelligent Robots and Systems (IROS), pages 31--36},
  year = {2006},
  publisher = {IEEE},
  owner = {goehring},
  timestamp = {2007.01.11}
}
• [2006,inproceedings] bibtex
  M. Lötzsch, M. Risler, and M. Jüngel, "XABSL – A Pragmatic Approach to Behavior Engineering," in Proceedings of IEEE/RSJ International Conference of Intelligent Robots and Systems (IROS), Beijing, China, 2006, pp. 5124-5129.
  @INPROCEEDINGS{2006:IROSLoetzschRislerJuengel,
  author = {M. Lötzsch and M. Risler and M. Jüngel},
  title = {XABSL - A Pragmatic Approach to Behavior Engineering},
  booktitle = {Proceedings of IEEE/RSJ International Conference of Intelligent Robots and Systems (IROS)},
  year = {2006},
  pages = {5124-5129},
  address = {Beijing, China},
  month = {October 9-15}
}
• [2006,mastersthesis] bibtex
  R. Berger, "Die Doppelpass-Architektur. Verhaltenssteuerung autonomer Agenten in dynamischen Umgebungen (in German)," Master’s Dissertation , 2006.
  @MASTERSTHESIS{diplom-berger,
  author = {Ralf Berger},
  title = {Die {D}oppelpass-{A}rchitektur. {V}erhaltenssteuerung autonomer {A}genten in dynamischen {U}mgebungen (in {G}erman)},
  school = {Humboldt-Universität zu Berlin, Institut für Informatik},
  year = {2006},
  type = {Diploma Thesis}
}
• [2006,inproceedings] bibtex
  J. Hoffmann, M. Spranger, D. Göhring, M. Jüngel, and H. Burkhard, "Further Studies On The Use Of Negative Information," in Proceedings of the 2006 IEEE International Conference on Robotics and Automation (ICRA) IEEE, 2006.
  @INPROCEEDINGS{hoffmann_et_al_ICRA2006,
  author = {Jan Hoffmann and Michael Spranger and Daniel Göhring and Matthias Jüngel and Hans-Dieter Burkhard},
  title = {Further Studies On The Use Of Negative Information},
  booktitle = {Proceedings of the 2006 IEEE International Conference on Robotics and Automation (ICRA) IEEE},
  year = {2006}
}
• [2006,inproceedings] bibtex
  D. Göhring, "Distributed Object Modeling Using Object Relations in Dynamic Environments," in Proceedings of Concurrency, Specification and Programming (CS\&P 2006), 2006.
  @INPROCEEDINGS{goehring06csp,
  author = {Daniel Göhring},
  title = {Distributed Object Modeling Using Object Relations in Dynamic Environments},
  booktitle = {Proceedings of Concurrency, Specification and Programming (CS\&P 2006)},
  year = {2006},
  owner = {goehring},
  timestamp = {2007.05.04}
}
• [2006,article] bibtex
  M. Lötzsch, M. Jüngel, M. Risler, and T. Krause, "XABSL web site," , 2006.
  @ARTICLE{xabsl_web,
  author = {Martin Lötzsch and Matthias Jüngel and Max Risler and Thomas Krause},
  title = {{XABSL web site}},
  year = {2006},
  note = {http://www.ki.informatik.hu-berlin.de/XABSL}
}
• [2005,inproceedings] bibtex
  H. D. Burkhard, "Programming Bounded Rationality," in Proceedings of the International Workshop on Monitoring, Security, and Rescue Techniques in Multiagent Systems (MSRAS 2004), 2005, pp. 347-362.
  @INPROCEEDINGS{hdb-bound-rat,
  author = {Hans Dieter Burkhard},
  title = {Programming {B}ounded {R}ationality},
  booktitle = {Proceedings of the International Workshop on Monitoring, Security, and Rescue Techniques in Multiagent Systems (MSRAS 2004)},
  year = {2005},
  pages = {347--362},
  publisher = {Springer}
}
• [2004,misc] bibtex
  U. Düffert, Vierbeiniges Laufen: Modellierung und Optimierung von Roboterbewegungen (in German), 2004.
  @MISC{dueffert07Diplom,
  author = {Uwe Düffert},
  title = {{V}ierbeiniges {L}aufen: {M}odellierung und {O}ptimierung von {R}oboterbewegungen (in {G}erman)},
  year = {2004},
  note = {Diploma thesis},
  school = {Humboldt-Universität zu Berlin}
}