Evolution von Laufrobotersteuerungen mit genetischer Programmierung

[1]  Adam T. Hayes,et al.  Self-organized flocking with agent failure: Off-line optimization and demonstration with real robots , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[2]  Craig W. Reynolds.  Flocks, herds, and schools: a distributed behavioral model , 1998 .

[3]  Wolfgang Banzhaf,et al.  Evolving Teams of Multiple Predictors with Genetic Programming , 2001 .

[4]  K. Dejong,et al.  An analysis of the behavior of a class of genetic adaptive systems , 1975 .

[5]  Kalyanmoy Deb,et al.  Design of a genetic-fuzzy system for planning crab gaits of a six-legged robot , 1999 .

[6]  Marco Dorigo,et al.  Genetics-based machine learning and behavior-based robotics: a new synthesis , 1993, IEEE Trans. Syst. Man Cybern..

[7]  Jens Ziegler,et al.  USING ARTIFICIAL NEURAL NETWORKS TO CONSTRUCT A META-MODEL FOR THE EVOLUTION OF GAIT PATTERNS OF FOUR-LEGGED WALKING ROBOTS , 2002 .

[8]  Wolfgang Banzhaf,et al.  Mesoscopic analysis of self-evolution in an artificial chemistry , 1998 .

[9]  Karl Sims,et al.  Artificial evolution for computer graphics , 1991, SIGGRAPH.

[10]  Stefano Nolfi,et al.  How to Evolve Autonomous Robots: Different Approaches in Evolutionary Robotics , 1994 .

[11]  John R. Koza,et al.  A Parallel Implementation of Genetic Programming that Achieves Super-Linear Performance , 1998, Inf. Sci..

[12]  Keith E. Mathias,et al.  Crossover Operator Biases: Exploiting the Population Distribution , 1997, ICGA.

[13]  Hideyuki Takagi,et al.  Interactive Evolutionary Computation : System Optimization Based on Human Subjective Evaluation , 1998 .

[14]  Nick Jakobi,et al.  Minimal simulations for evolutionary robotics , 1998 .

[15]  Andreas Bastian,et al.  Adaptive Genetic Programming for System Identification , 1997 .

[16]  James K. Hahn,et al.  Genetic Programming Evolution of Controllers for 3-D Character Animation , 1997 .

[17]  C. G. Shaefer,et al.  The ARGOT Strategy: Adaptive Representation Genetic Optimizer Technique , 1987, ICGA.

[18]  Jim Smith,et al.  Operator and parameter adaptation in genetic algorithms , 1997, Soft Comput..

[19]  Karl Sims,et al.  Evolving virtual creatures , 1994, SIGGRAPH.

[20]  G. Sukhatme,et al.  Autonomous Flying Vehicle Research at the University of Southern California , 2002 .

[21]  Frédéric Gruau,et al.  Cellular Encoding for interactive evolutionary robotics , 1996 .

[22]  Dana H. Ballard,et al.  Genetic Programming with Adaptive Representations , 1994 .

[23]  Inman Harvey,et al.  Noise and the Reality Gap: The Use of Simulation in Evolutionary Robotics , 1995, ECAL.

[24]  John J. Grefenstette,et al.  Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.

[25]  Ingo Rechenberg,et al.  Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .

[26]  Hartmut F. Witte,et al.  Hints for the construction of anthropomorphic robots based on the functional morphology of human walking (特集「ロコモーション」) , 2002 .

[27]  Peter Nordin,et al.  Real Time Control of a Khepera Robot using Genetic Programming , 1997 .

[28]  Lawrence Davis,et al.  Adapting Operator Probabilities in Genetic Algorithms , 1989, ICGA.

[29]  F. A. Seiler,et al.  Numerical Recipes in C: The Art of Scientific Computing , 1989 .

[30]  John J. Grefenstette,et al.  Using a Genetic Algorithm to Learn Behaviors for Autonomous Vehicles , 1992 .

[31]  Hiroaki Kitano,et al.  Playing soccer with legged robots , 1998, Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190).

[32]  J. Pollack,et al.  Coevolving High-Level Representations , 1993 .

[33]  Tariq P. Sattar,et al.  Internal in-service inspection of the floor and walls of oil, petroleum, and chemical storage tanks with a mobile robot , 2002 .

[34]  Leonardo Vanneschi,et al.  How Statistics Can Help In Limiting The Number Of Fitness Cases In Genetic Programming , 2002, GECCO.

[35]  Zbigniew Michalewicz,et al.  Self-Adaptive Genetic Algorithm for Numeric Functions , 1996, PPSN.

[36]  Vidroha Debroy,et al.  Genetic Programming , 1998, Lecture Notes in Computer Science.

[37]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[38]  Larry Bull,et al.  Evolution in Multi-agent Systems: Evolving Communicating Classifier Systems for Gait in a Quadrupedal Robot , 1995, ICGA.

[39]  Ricardo R. Gudwin,et al.  Neural networks in classifier systems ( NNCS ) : An application to autonomous navigation , .

[40]  Andreas Zell,et al.  Simulation neuronaler Netze , 1994 .

[41]  Andrew W. Moore,et al.  The Racing Algorithm: Model Selection for Lazy Learners , 1997, Artificial Intelligence Review.

[42]  Enric Celaya,et al.  Efficient gait generation using reinforcement learning , 2001 .

[43]  R A Brooks,et al.  New Approaches to Robotics , 1991, Science.

[44]  Wolfgang Banzhaf,et al.  Genetic Programming: An Introduction , 1997 .

[45]  Wolfgang Banzhaf,et al.  Linear-Tree GP and Its Comparison with Other GP Structures , 2001, EuroGP.

[46]  Peter J. Angeline,et al.  Two self-adaptive crossover operators for genetic programming , 1996 .

[47]  Wan Kyun Chung,et al.  Real-time ZMP compensation method using null motion for mobile manipulators , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[48]  Wolfgang Banzhaf,et al.  Decreasing the Number of Evaluations in Evolutionary Algorithms by Using a Meta-model of the Fitness Function , 2003, EuroGP.

[49]  Norbert Hoffmann,et al.  Simulation Neuronaler Netze , 1991 .

[50]  Peter Ross,et al.  Adapting Operator Settings in Genetic Algorithms , 1998, Evolutionary Computation.

[51]  Hans-Paul Schwefel,et al.  Evolution and optimum seeking , 1995, Sixth-generation computer technology series.

[52]  David P. Barnes,et al.  Robust gait generation for hexapodal robot locomotion , 1999, AGENTS '99.

[53]  Wolfgang Banzhaf,et al.  Evolving a "nose" for a robot , 2000 .

[54]  Peter Ross,et al.  Co-evolution of Operator Settings in Genetic Algorithms , 1996, Evolutionary Computing, AISB Workshop.

[55]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[56]  D. Goldberg,et al.  Don't evaluate, inherit , 2001 .

[57]  Karl Sims,et al.  Evolving 3d morphology and behavior by competition , 1994 .

[58]  P. Darwen.  Black magic: Interdependence prevents principled parameter setting, self adapting costs too much computation , 2000 .

[59]  Wolfgang Banzhaf,et al.  Artificial ChemistriesA Review , 2001, Artificial Life.

[60]  Lalit M. Patnaik,et al.  Adaptive probabilities of crossover and mutation in genetic algorithms , 1994, IEEE Trans. Syst. Man Cybern..

[61]  M. C. Sinclair.  Operator-probability adaptation in a genetic-algorithm/heuristic hybrid for optical network wavelength allocation , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[62]  Gary B. Parker,et al.  Adaptive hexapod gait control using anytime learning with fitness biasing , 1999 .

[63]  Randall D. Beer,et al.  Leg Coordination Mechanisms in the Stick Insect Applied to Hexapod Robot Locomotion , 1993, Adapt. Behav..

[64]  Thomas Bck,et al.  Self-adaptation in genetic algorithms , 1991 .

[65]  Holk Cruse.  Coordination of leg movement in walking animals , 1991 .

[66]  Rodney A. Brooks,et al.  A Robust Layered Control Syste For A Mobile Robot , 2022 .

[67]  Roy Featherstone,et al.  Robot Dynamics Algorithms , 1987 .

[68]  Krister Wolff,et al.  Constructing a small humanoid walking robot as a platform for the genetic evolution of walking , 2001 .

[69]  Michael R. M. Jenkin,et al.  Computational principles of mobile robotics , 2000 .

[70]  Marco Colombetti,et al.  Learning to control an autonomous robot by distributed genetic algorithms , 1993 .

[71]  Alexandru Agapie,et al.  Theoretical Analysis of Mutation-Adaptive Evolutionary Algorithms , 2001, Evolutionary Computation.

[72]  Wolfgang Banzhaf,et al.  Adaption of Operator Probabilities in Genetic Programming , 2001, EuroGP.

[73]  George Joblove.  The applications of evolutionary and biological processes to computer art and animation , 1993, SIGGRAPH.

[74]  Fred Delcomyn,et al.  Walking Robots and the Central and Peripheral Control of Locomotion in Insects , 1999, Auton. Robots.

[75]  Bernhard Sendhoff,et al.  A framework for evolutionary optimization with approximate fitness functions , 2002, IEEE Trans. Evol. Comput..

[76]  Wolfgang Banzhaf,et al.  Towards a metabolic robot control system , 1998 .

[77]  Wolfgang Banzhaf,et al.  Automatic Generation of Control Programs for Walking Robots Using Genetic Programming , 2002, EuroGP.

[78]  Peter F. Drucker,et al.  9 – Towards a Theory of Organizations , 1969 .

[79]  Thomas Bäck,et al.  Metamodel-Assisted Evolution Strategies , 2002, PPSN.

[80]  Sung-Bae Cho,et al.  An efficient genetic algorithm with less fitness evaluation by clustering , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).

[81]  Peter Nordin,et al.  A compiling genetic programming system that directly manipulates the machine-code , 1994 .

[82]  B. Bridge,et al.  Tofd inspection of v-groove butt welds on the hull of a container ship with a magnetically adhering wall climbing robot , 2002 .

[83]  Maciej Komosinski,et al.  The World of Framsticks: Simulation, Evolution, Interaction , 2000, Virtual Worlds.

[84]  Marc H. Raibert,et al.  Legged Robots That Balance , 1986, IEEE Expert.

[85]  Krister Wolff,et al.  Evolution of Efficient Gait with an Autonomous Biped Robot using Visual Feedback , 2001 .

[86]  Jens Ziegler,et al.  Adaptive Methods to Improve Self-localization in Robot Soccer , 2002, RoboCup.

[87]  W. Oechel,et al.  Automatic design and manufacture of robotic lifeforms , 2022 .

[88]  Thomas Bäck,et al.  An Empirical Study on GAs "Without Parameters" , 2000, PPSN.

[89]  John Hallam,et al.  Applying genetic programming to evolve behavior primitives and arbitrators for mobile robots , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[90]  Wolfgang Banzhaf,et al.  SYSGP - A C++ library of different GP variants , 1998 .

[91]  Wolfgang Banzhaf,et al.  Evolving Control Metabolisms for a Robot , 2001, Artificial Life.

[92]  Peter Nordin,et al.  An On-Line Method to Evolve Behavior and to Control a Miniature Robot in Real Time with Genetic Programming , 1996, Adapt. Behav..

[93]  Wolfgang Banzhaf,et al.  Evolving Teams of Predictors with Linear Genetic Programming , 2001, Genetic Programming and Evolvable Machines.

[94]  Wolfgang Banzhaf,et al.  Künstliche Chemie , 2000, Künstliche Intell..

[95]  William H. Press,et al.  The Art of Scientific Computing Second Edition , 1998 .

[96]  Thomas Bäck,et al.  An Overview of Parameter Control Methods by Self-Adaption in Evolutionary Algorithms , 1998, Fundam. Informaticae.

[97]  Yoshihiko Nakamura,et al.  Making feasible walking motion of humanoid robots from human motion capture data , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[98]  Antonia J. Jones,et al.  An Adaptive Mapping for Developmental Genetic Programming , 2001, EuroGP.

[99]  Rodney A. Brooks,et al.  Coherent behavior from many adaptive processes , 1994 .

[100]  John R. Koza,et al.  Genetic Programming III - Darwinian Invention and Problem Solving , 1999, Evolutionary Computation.

[101]  Stefano Nolfi,et al.  Evolving mobile robots in simulated and real environments , 1995 .

[102]  Tucker R. Balch,et al.  Behavior-based formation control for multirobot teams , 1998, IEEE Trans. Robotics Autom..

[103]  Gregory S. Hornby,et al.  Autonomous evolution of gaits with the Sony Quadruped Robot , 1999 .

[104]  Graham F. Spencer,et al.  Automatic Generation of Programs for Crawling and Walking , 1993, International Conference on Genetic Algorithms.

[105]  Peter Nordin,et al.  Genetic Programming Controlling a Miniature Robot , 1995 .

[106]  Russ Tedrake.  Improved Dynamic Stability Using Reinforcement Learning , 2002 .

[107]  S. Niku.  Introduction to Robotics: Analysis, Systems, Applications , 2001 .

[108]  David E. Goldberg,et al.  A Critical Review of Classifier Systems , 1989, ICGA.

[109]  Hajime Kita,et al.  Adaptation to Changing Environments by Means of the Memory Based Thermodynamical Genetic Algorithm , 1997, ICGA.

[110]  Wolfgang Banzhaf,et al.  Learning to Move a Robot with Random Morphology , 1998, EvoRobot.

[111]  Peter Nordin,et al.  Evolution of a world model for a miniature robot using genetic programming , 1998, Robotics Auton. Syst..

[112]  John H. Holland.  Genetic Algorithms and Classifier Systems: Foundations and Future Directions , 1987, ICGA.

[113]  Jim Smith,et al.  Self adaptation of mutation rates in a steady state genetic algorithm , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[114]  F.J. Von Zuben,et al.  A simulator using classifier systems with neural networks for autonomous robot navigation , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).

[115]  Luc Steels,et al.  When are robots intelligent autonomous agents? , 1995, Robotics Auton. Syst..

[116]  Ronald L. Huston,et al.  Dynamics of Multibody Systems , 1988 .

[117]  Terence C. Fogarty,et al.  Varying the Probability of Mutation in the Genetic Algorithm , 1989, ICGA.

[118]  Zbigniew Michalewicz,et al.  Adaptation in evolutionary computation: a survey , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[119]  Jeffrey D. Ullman,et al.  Introduction to Automata Theory, Languages and Computation , 1979 .

[120]  I N Bronstein,et al.  Taschenbuch der Mathematik , 1966 .

[121]  Jack Dongarra,et al.  Pvm 3 user's guide and reference manual , 1993 .

[122]  John R. Koza,et al.  Automatic Programming of Robots Using Genetic Programming , 1992, AAAI.

[123]  Inman Harvey,et al.  Evolving visually guided robots , 1993 .

[124]  Andrew H. Fagg,et al.  Genetic programming approach to the construction of a neural network for control of a walking robot , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[125]  Inman Harvey,et al.  Evolution Versus Design: Controlling Autonomous Robots , 1992, Proceedings of the Third Annual Conference of AI, Simulation, and Planning in High Autonomy Systems 'Integrating Perception, Planning and Action'..

[126]  Peter Nordin,et al.  Evolving real-time behavioral modules for a robot with GP , 1996 .

[127]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[128]  Wolfgang Banzhaf,et al.  You can judge a book by its cover – Evolution of gait controllers based on program code analysis , 2003 .

[129]  Francesco Mondada,et al.  Evolution of neural control structures: some experiments on mobile robots , 1995, Robotics Auton. Syst..

[130]  Takeshi Yamada,et al.  Optimal Population Size under Constant Computation Cost , 1994, PPSN.

[131]  Thomas Bäck,et al.  Optimal Mutation Rates in Genetic Search , 1993, ICGA.

[132]  Wolfgang Banzhaf,et al.  Empirical analysis of different levels of meta-evolution , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[133]  Bryant A. Julstrom,et al.  Adaptive operator probabilities in a genetic algorithm that applies three operators , 1997, SAC '97.

[134]  George A. Bekey,et al.  Genetic Algorithms for Gait Synthesis in a Hexapod Robot , 1994 .

[135]  G. Miller,et al.  Artificial Evolution: A New Path for Artificial Intelligence? , 1997, Brain and Cognition.

[136]  Jeffrey M. Bradshaw,et al.  R2D2 in a softball: the portable satellite assistant , 2000, IUI '00.

[137]  Astro Teller,et al.  PADO: a new learning architecture for object recognition , 1997 .

[138]  Randall D. Beer,et al.  Evolving Dynamical Neural Networks for Adaptive Behavior , 1992, Adapt. Behav..

[139]  John J. Grefenstette,et al.  An Evolutionary Approach to Learning in Robots. , 1994 .

[140]  Phil Husbands,et al.  Evolutionary robotics , 2014, Evolutionary Intelligence.

[141]  Peter J. Angeline,et al.  Adaptive and Self-adaptive Evolutionary Computations , 1995 .

[142]  Justinian P. Rosca,et al.  Learning by adapting representations in genetic programming , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[143]  J. Toner,et al.  Flocks, herds, and schools: A quantitative theory of flocking , 1998, cond-mat/9804180.

[144]  Bryant A. Julstrom,et al.  What Have You Done for Me Lately? Adapting Operator Probabilities in a Steady-State Genetic Algorithm , 1995, ICGA.

[145]  Fernando G. Lobo,et al.  A parameter-less genetic algorithm , 1999, GECCO.

[146]  W. Press,et al.  Numerical Recipes in Fortran: The Art of Scientific Computing.@@@Numerical Recipes in C: The Art of Scientific Computing. , 1994 .

[147]  Manfred Hiller,et al.  Transfer of biological principles into the construction of quadruped walking machines , 2001, Proceedings of the Second International Workshop on Robot Motion and Control. RoMoCo'01 (IEEE Cat. No.01EX535).

[148]  Jim Smith,et al.  Adaptively Parameterised Evolutionary Systems: Self-Adaptive Recombination and Mutation in a Genetic Algorithm , 1996, PPSN.

[149]  John R. Koza,et al.  Genetic Programming II , 1992 .