Cognitive concepts in autonomous soccer playing robots

[1]  dizayn İç dekor Design by Contract , 2010 .

[2]  Luís Seabra Lopes,et al.  Multi-robot team coordination through roles, positionings and coordinated procedures , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  Martin A. Riedmiller,et al.  Participating in Autonomous Robot Competitions: Experiences from a Robot Soccer Team , 2009 .

[4]  Dimitri P. Bertsekas,et al.  Neuro-Dynamic Programming , 2009, Encyclopedia of Optimization.

[5]  António J. R. Neves,et al.  Sensor and Information Fusion Applied to a Robotic Soccer Team , 2009, RoboCup.

[6]  Martin A. Riedmiller,et al.  A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach , 2009, RoboCup.

[7]  René van de Molengraft,et al.  An active ball handling mechanism for RoboCup , 2008, ICARCV.

[8]  Martin Lauer,et al.  Learning to dribble on a real robot by success and failure , 2008, 2008 IEEE International Conference on Robotics and Automation.

[9]  K. Ishii,et al.  Power and propulsion systems design for an autonomous omni-directional mobile robot , 2008, 2008 Twenty-Third Annual IEEE Applied Power Electronics Conference and Exposition.

[10]  Daniele Nardi,et al.  Petri net plans: a formal model for representation and execution of multi-robot plans , 2008, AAMAS.

[11]  Cyril S. Ku,et al.  Design Patterns , 2008, Wiley Encyclopedia of Computer Science and Engineering.

[12]  R. van de Molengraft,et al.  An active ball handling mechanism for RoboCup , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.

[13]  Pedro U. Lima,et al.  3D Tracking by Catadioptric Vision Based on Particle Filters , 2008, RoboCup.

[14]  René van de Molengraft,et al.  From Vision to Realtime Motion Control for the RoboCup Domain , 2007, 2007 IEEE International Conference on Control Applications.

[15]  Martin A. Riedmiller,et al.  Learning to Drive a Real Car in 20 Minutes , 2007, 2007 Frontiers in the Convergence of Bioscience and Information Technologies.

[16]  Martin Lauer,et al.  Making a Robot Learn to Play Soccer Using Reward and Punishment , 2007, KI.

[17]  Yasunori Takemura,et al.  Concept of Mechatronics Modular Design for an Autonomous Mobile Soccer Robot , 2007, 2007 International Symposium on Computational Intelligence in Robotics and Automation.

[18]  M. Goebl,et al.  A Real-Time-capable Hard-and Software Architecture for Joint Image and Knowledge Processing in Cognitive Automobiles , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[19]  René van de Molengraft,et al.  Realtime motion path generation using subtargets in a rapidly changing environment , 2007, Robotics Auton. Syst..

[20]  Peter Stone,et al.  A Comparison of Two Approaches for Vision and Self-Localization on a Mobile Robot , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[21]  Martin A. Riedmiller,et al.  Neural Reinforcement Learning Controllers for a Real Robot Application , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[22]  Martin Lauer,et al.  Real-time 3D Ball Recognition using Perspective and Catadioptric Cameras , 2007, EMCR.

[23]  Martin Lauer,et al.  Ego-Motion Estimation and Collision Detection for Omnidirectional Robots , 2006, RoboCup.

[24]  Rolf Pfeifer,et al.  How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books) , 2006 .

[25]  Rolf Pfeifer,et al.  How the body shapes the way we think - a new view on intelligence , 2006 .

[26]  Andreas Zell,et al.  A Combined Monte-Carlo Localization and Tracking Algorithm for RoboCup , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[27]  Andreas Zell,et al.  An Automatic Approach to Online Color Training in RoboCup Environments , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[28]  Christopher G. Lasater,et al.  Design Patterns , 2008, Wiley Encyclopedia of Computer Science and Engineering.

[29]  Paul Levi,et al.  Situation recognition for reactive agent behavior , 2006, Artificial Intelligence and Soft Computing.

[30]  Motion Estimation of Moving Objects for Autonomous Mobile Robots , 2006, Künstliche Intell..

[31]  Patrick Heinemann IMPROVED PATH PLANNING IN HIGHLY DYNAMIC ENVIRONMENTS BASED ON TIME VARIANT POTENTIAL FIELDS , 2006 .

[32]  Pierre Geurts,et al.  Tree-Based Batch Mode Reinforcement Learning , 2005, J. Mach. Learn. Res..

[33]  Martin A. Riedmiller Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method , 2005, ECML.

[34]  Andrea Bonarini,et al.  Automatic Error Detection and Reduction for an Odometric Sensor based on Two Optical Mice , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.

[35]  Kazuo Yoshida,et al.  Cooperative Action Control Based on Evaluating Objective Achievements , 2005, RoboCup.

[36]  Alexander Ferrein,et al.  Using Golog for Deliberation and Team Coordination in Robotic Soccer , 2005, Künstliche Intell..

[37]  Alexander Ferrein,et al.  Laser-Based Localization with Sparse Landmarks , 2005, RoboCup.

[38]  Martin Lauer,et al.  Calculating the Perfect Match: An Efficient and Accurate Approach for Robot Self-localization , 2005, RoboCup.

[39]  Alexander Ferrein,et al.  Comparing Sensor Fusion Techniques for Ball Position Estimation , 2005, RoboCup.

[40]  Richard S. Sutton,et al.  Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.

[41]  Andreas Zell,et al.  Real-time object tracking for soccer-robots without color information , 2004, Robotics Auton. Syst..

[42]  A. Zelinsky,et al.  Stereo panoramic vision for monitoring vehicle blind-spots , 2004, IEEE Intelligent Vehicles Symposium, 2004.

[43]  Peter Dayan,et al.  Q-learning , 1992, Machine Learning.

[44]  Peter Dayan,et al.  Technical Note: Q-Learning , 2004, Machine Learning.

[45]  B. Ripley,et al.  Robust Statistics , 2018, Wiley Series in Probability and Statistics.

[46]  Martin A. Riedmiller,et al.  Line Based Robot Localization under Natural Light Conditions , 2004 .

[47]  Sven Behnke,et al.  Predicting Away Robot Control Latency , 2003, RoboCup.

[48]  Michael M. Richter,et al.  Adaptivity and Learning , 2003 .

[49]  Martin A. Riedmiller,et al.  Using Machine Learning Techniques in Complex Multi-Agent Domains , 2003 .

[50]  Hans Utz,et al.  Towards autonomous vision self-calibration for soccer robots , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[51]  D. Duhaut,et al.  The road to RoboCup 2050 , 2002, IEEE Robotics Autom. Mag..

[52]  Wolfram Burgard,et al.  Robust Monte Carlo localization for mobile robots , 2001, Artif. Intell..

[53]  Michael Wooldridge,et al.  Reasoning about rational agents , 2000, Intelligent robots and autonomous agents.

[54]  Arthur E. Hoerl,et al.  Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.

[55]  Naokazu Yokoya,et al.  Generation of high-resolution stereo panoramic images by omnidirectional imaging sensor using hexagonal pyramidal mirrors , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[56]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[57]  Ronald C. Arkin,et al.  An Behavior-based Robotics , 1998 .

[58]  M. Georgeff,et al.  Rational software agents: from theory to practice , 1998 .

[59]  Michael Wooldridge,et al.  Agent technology: foundations, applications, and markets , 1998 .

[60]  Shree K. Nayar,et al.  A theory of catadioptric image formation , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[61]  Shree K. Nayar,et al.  Real-Time Omnidirectional and Panoramic Stereo , 1998 .

[62]  Tucker R. Balch,et al.  AuRA: principles and practice in review , 1997, J. Exp. Theor. Artif. Intell..

[63]  Hiroaki Kitano,et al.  RoboCup: A Challenge Problem for AI , 1997, AI Mag..

[64]  Thomas G. Dietterich What is machine learning? , 2020, Archives of Disease in Childhood.

[65]  François G. Pin,et al.  A new family of omnidirectional and holonomic wheeled platforms for mobile robots , 1994, IEEE Trans. Robotics Autom..

[66]  Michael L. Littman,et al.  Markov Games as a Framework for Multi-Agent Reinforcement Learning , 1994, ICML.

[67]  Martin L. Puterman,et al.  Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .

[68]  Xiao-Li Meng,et al.  Maximum likelihood estimation via the ECM algorithm: A general framework , 1993 .

[69]  Martin A. Riedmiller,et al.  A direct adaptive method for faster backpropagation learning: the RPROP algorithm , 1993, IEEE International Conference on Neural Networks.

[70]  Bertrand Meyer,et al.  Applying 'design by contract' , 1992, Computer.

[71]  R. A. Brooks,et al.  Intelligence without Representation , 1991, Artif. Intell..

[72]  David Harel,et al.  Statecharts: A Visual Formalism for Complex Systems , 1987, Sci. Comput. Program..

[73]  P. Langley,et al.  Production system models of learning and development , 1987 .

[74]  Scott D. Thomson,et al.  An Introduction , 1977 .

[75]  Arthur Gelb,et al.  Applied Optimal Estimation , 1974 .

[76]  R. Bellman Dynamic Programming , 1957, Science.

[77]  R. Howard Dynamic Programming and Markov Processes , 1960 .