papers.bib

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@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}
}

@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}
}

@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}
}

@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}
}

@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},
  owner = {gxy},
  timestamp = {2009.12.06}
}

@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}
}

@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}
}

@TECHREPORT{tdp10,
  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}
}

@TECHREPORT{tdp09,
  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}
}

@INPROCEEDINGS{Cotugno2010,
  author = {Giuseppe Cotugno and Heinrich Mellmann},
  title = {Dynamic Motion Control: Adaptive Bimanual Grasping for a Humanoid
	Robot},
  booktitle = {Proceedings of the Workshop on Concurrency, Specification, and Programming
	CS\&P 2010},
  year = {2010},
  volume = {Volume 2},
  address = {Börnicke (near Berlin), Germany},
  month = {September},
  abstract = {In this paper we analyze the kinematic and sensory grasping abilities
	of the humanoid robot Nao. Its kinematic constraints and hand's mechanical
	structure represent an interesting case of study due to lack of actuators
	for fingers and the limited computation power. After describing the
	platform and studying its capabilities, we propose some simple controllers
	and we present a benchmark based on some experimental data.},
  owner = {gxy},
  timestamp = {2010.09.29}
}

@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}
}

@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}
}

@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}
}



@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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/}
}

@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}
}

@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}
}

@PHDTHESIS{hild07thesis,
  author = {Manfred Hild},
  title = {Neurodynamische Module zur Bewegungssteuerung autonomer mobiler Roboter
	(in German)},
  school = {Humboldt-Universität zu Berlin},
  year = {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}
}

@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}
}

@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}
}

@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}
}

@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}
}

@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/}
}

@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}
}


@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}
}

@MASTERSTHESIS{diplom-mellmann,
  author = {Heinrich Mellmann},
  title = {{E}in anderes {M}odell der {W}elt. {A}lternative {M}ethoden zur {L}okalisierung
	mobiler {R}oboter.},
  school = {Humboldt-Universität zu Berlin, Institut für Informatik},
  year = {2010},
  type = {Diploma Thesis}
}

@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}
}

@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}
}

@INPROCEEDINGS{IROS2010,
  author = {Heinrich Mellmann and Yuan Xu},
  title = {Adaptive Motion Control with Visual Feedback for a Humanoid Robot},
  booktitle = {the Proceedings of the 2010 IEEE/RSJ International Conference on
	Intelligent Robots and Systems},
  year = {2010},
  address = {Taipei},
  owner = {xu},
  timestamp = {2010.07.23}
}

@INPROCEEDINGS{Mellmann2010b,
  author = {Heinrich Mellmann and Yuan Xu and Thomas Krause and Florian Holzhauer},
  title = {NaoTH Software Architecture for an Autonomous Agent},
  booktitle = {International Workshop on Standards and Common Platforms for Robotics
	(SCPR 2010)},
  year = {2010},
  address = {Darmstadt},
  month = {November},
  owner = {gxy},
  timestamp = {2010.11.21}
}

@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 }
}

@MASTERSTHESIS{master-reinhardt,
  author = {Thomas Reinhardt},
  title = {Die {K}alibrierungsfreie {B}ildverarbeitungsalgorithmen zur echtzeitfähigen
	{O}bjekterkennung im {R}oboterfussball (in {G}erman)},
  school = {Hochschule für Technik, Wirtschaft und Kultur Leipzig, Fakultät für
	Informatik, Mathematik und Naturwissenschaften},
  year = {2011},
  type = {Master Thesis}
}

@InProceedings{RoeferJuengel-03,
  author    = {Thomas Röfer and Matthias Jüngel},
  title     = {Vision-Based Fast and Reactive Monte-Carlo Localization},
  booktitle = {Proceedings of the 2003 IEEE International Conference on Robotics and Automation (ICRA)},
  year      = {2003},
  editor    = {Daniel Polani and Andrea Bonarini and Brett Browning and Kazuo Yoshida},
  pages     = {856--861},
  publisher = {IEEE},
  abstract  = {This paper presents a fast approach for vision-based self-localization
	in RoboCup. The vision system extracts the features required for
	localization without processing the whole image and is a first step
	towards independence of lighting conditions. In the field of self-localization,
	some new ideas are added to the well-known Monte- Carlo localization
	approach that increase both stability and reactivity, while keeping
	the processing time low.},
  file      = {RoeferJuengel-03.pdf:SelfLocalization/RoboCup/RoeferJuengel-03.pdf:PDF;2003-09-icra03-RoeferJuengel-VisionBasedMonteCarloLocalization.pdf:ATH-papers-pdf/2003-09-icra03-RoeferJuengel-VisionBasedMonteCarloLocalization.pdf:PDF},
  owner     = {juengel},
  timestamp = {2011.08.28},
}

@INPROCEEDINGS{HSR-ScheunemannMellmann-14,
  author = {Scheunemann, Marcus M and Mellmann, Heinrich},
  title = {Multi-Hypothesis Goal Modeling for a Humanoid Soccer Robot},
  booktitle = {Proceedings of the 9th Workshop on Humanoid Soccer Robots, 14th IEEE-RAS
	International Conference on Humanoid Robots (Humanoids), Madrid,
	Spain.},
  year = {2014},
  owner = {scheunemann},
  timestamp = {2014.11.29},
  url = {http://www.ais.uni-bonn.de/humanoidsoccer/ws14/papers/HSR14_Scheunemann.pdf}
}

@BOOK{ThrunBurgardEtAl-06,
  title = {Probabilistic Robotics},
  publisher = {The MIT Press},
  year = {2006},
  author = {Thrun, Sebastian and Burgard, Wolfram and Fox, Dieter},
  abstract = {Probablistic robotics is a growing area in the subject, concerned
	with perception and control in the face of uncertainty and giving
	robots a level of robustness in real-world situations. This book
	introduces techniques and algorithms in the field.},
  howpublished = {Hardcover},
  isbn = {13--978~0~262~201629},
  keywords = {3i, 3r, algorithm-slam, book, exploration, filter-kalman, filter-kalman-extended,
	filter-kalman-unscented, filter-particle, filtering, localization,
	mapping, motion, probability, robotics},
  owner = {gxy},
  timestamp = {2015.01.11}
}

@PHDTHESIS{Uc-Cetina09thesis,
  author = {Vìctor Uc-Cetina},
  title = {Reinforcement Learning in Continuous State and Action Spaces},
  school = {Humboldt-Universität zu Berlin},
  year = {2009}
}

@INPROCEEDINGS{xucsp2010,
  author = {Yuan Xu and Hans-Dieter Burkhard},
  title = {Narrowing Reality Gap and Validation: Improving the Simulator for
	Humanoid Soccer Robot},
  booktitle = {Concurrency, Specification and Programming CS\&P'2010},
  year = {2010},
  address = {Helenenau, Germany},
  month = {September}
}

@INPROCEEDINGS{KI2010,
  author = {Yuan Xu and Heinrich Mellmann},
  title = {Adaptive Motion Control: Dynamic Kick for a Humanoid Robot},
  booktitle = {the Proceedings of the 33rd Annual German Conference on Artificial
	Intelligence},
  year = {2010},
  address = {Karlsruhe, Germany},
  owner = {xu},
  timestamp = {2010.07.23}
}

@INPROCEEDINGS{Xu2010,
  author = {Yuan Xu and Heinrich Mellmann and Hans-Dieter Burkhard},
  title = {An Approach to Close the Gap between Simulation and Real Robots},
  booktitle = {2nd International Conference on Simulation, Modeling and Programming
	for Autonomous Robots (SIMPAR)},
  year = {2010},
  editor = {Ando and Balakirska and Reggiani and von Stryk},
  address = {Darmstadt},
  month = {November},
  owner = {xu},
  timestamp = {2010.09.17}
}

@INPROCEEDINGS{CSP-KadenMellmannEtAl-13,
author = {Steffen Kaden and Heinrich Mellmann and Marcus Scheunemann and Hans-Dieter
Burkhard},
title = {Voronoi Based Strategic Positioning for Robot Soccer},
booktitle = {Proceedings of the 22nd International Workshop on Concurrency, Specification
and Programming (CS\&P)},
year = {2013},
editor = {Marcin S. Szczuka and Ludwik Czaja and Magdalena Kacprzak},
volume = {1032},
series = {CEUR Workshop Proceedings},
pages = {271-282},
address = {Warsaw, Poland},
publisher = {CEUR-WS.org},
abstract = {Strategic positioning is a decisive part of the team play within a
soccer game. In most solutions the positioning techniques are treated
as a constituent of a complete team play strategy. In a comprehensive
overview we discuss the team play and positioning methods used within
RoboCup and extract the essential requirements for player positioning.
In this work, we propose an approach for strategic positioning allowing
for flexible formulation of arbitrary strategies. Based on the conditions
of a specific strategy, the field is subdivided in regions by a Voronoi
tessellation and each region is assigned a weight. Those weights
influence the calculation of the optimal robot position as well as
the path. A team play strategy can be expressed by the choice of
the tessellation as well as the choice of the weights. This provides
a powerful abstraction layer simplifying the design of the actual
play strategy. We also present an implementation of an example strategy
based on this approach and analyse the performance of our approach
in simulation.},
bibsource = {DBLP, http://dblp.uni-trier.de},
ee = {http://ceur-ws.org/Vol-1032/paper-23.pdf},
owner = {gxy},
timestamp = {2013.11.03}
}

@InProceedings{RCMellmannSchlotterBlum16,
  author    = {Heinrich Mellmann and Benjamin Schlotter and Christian Blum},
  title     = {Simulation Based Selection of Actions for a Humanoid Soccer-Robot},
  booktitle = {RoboCup 2016: Robot Soccer World Cup XX},
  year      = {2016},
  abstract  = {This paper introduces a method for making fast decisions in a highly
dynamic situation, based on forward simulation. This approach is
inspired by the decision problem within the RoboCup domain. In this
environment, selecting the right action is often a challenging task.
The outcome of a particular action may depend on a wide variety of
environmental factors, such as the robot's position on the field
or the location of obstacles. In addition, the perception is often
heterogeneous, uncertain, and incomplete. In this context, we investigate
forward simulation as a versatile and extensible yet simple mechanism
for inference of decisions. The outcome of each possible action is
simulated based on the estimated state of the situation. The simulation
of a single action is split into a number of simple deterministic
simulations -- samples -- based on the uncertainties of the estimated
state and of the action model. Each of the samples is then evaluated
separately, and the evaluations are combined and compared with those
of other actions to inform the overall decision. This allows us to
effectively combine heterogeneous perceptual data, calculate a stable
decision, and reason about its uncertainty. This approach is implemented
for the kick selection task in the RoboCup SPL environment and is
actively used in competitions. We present analysis of real game data
showing significant improvement over our previous methods.},
  keywords  = {RoboCup, humanoid robots, internal simulation, decision making},
  owner     = {gxy},
  timestamp = {2016.07.11},
  url       = {http://www.ais.uni-bonn.de/robocup.de/2016/papers/RoboCup_Symposium_2016_Mellmann.pdf},
}
@InProceedings{HSR-MellmannSchlotter-17,
  author    = {Heinrich Mellmann and Benjamin Schlotter},
  title     = {Advances on Simulation Based Selection of Actions for a Humanoid Soccer-Robot},
  booktitle = {Proceedings of the 12th Workshop on Humanoid Soccer Robots, 17th IEEE-RAS International Conference on Humanoid Robots (Humanoids), Madrid, Spain.},
  year      = {2017},
}

@InProceedings{RC-MellmannSchlotterStrobel-19,
  author    = {Heinrich Mellmann and Benjamin Schlotter and Philipp Strobel},
  title     = {{T}oward {D}ata {D}riven {D}evelopment in {R}obo{C}up},
  booktitle = {RoboCup 2019: Robot Soccer World Cup XXIII},
  year      = {2019},
  note      = {to appear},
  abstract  = {Conducting games in RoboCup incurs high cost in terms of effort, time, and money. The scientific outcome, however, is quite limited and often not very conclusive. Especially, analyzing and drawing conclusions about the performance of complex processes like decision making of an individual robot or the behavior on the team level poses a considerable challenge. Collecting more data during the competition games will help to analyze the performance of algorithms, identify errors and areas for improvement, and make more signiffcant statements regarding the performance of the robots. In this work we investigate the possibilities for collection of the large scale RoboCup data and its analysis. We present a system for automatic recording of synchronized videos of RoboCup games and an application for exploration and annotation of large sets of RoboCup-related data. We also present data sets collected during the competitions in 2018 and an algorithm for visual detection and tracking of robots in the RoboCup videos. A first empirical evaluation shows promising results and demonstrates how such data can be integrated and used to validate robot's behavior.},
  keywords  = {RoboCup, Data Driven Development, Robot Detection, Visual Robot Tracking, Camera Localization},
}

@Comment{jabref-meta: databaseType:bibtex;}