Main Strategies for Autonomous Robotic Controller Design

[1]  Marco Colombetti,et al.  Robot Shaping: Developing Autonomous Agents Through Learning , 1994, Artif. Intell..

[2]  Dilip Kumar Pratihar,et al.  Evolutionary robotics—A review , 2003 .

[3]  Lefteris Doitsidis,et al.  Autonomous Navigation of Unmanned Vehicles: A Fuzzy Logic Perspective , 2005 .

[4]  N. H. C. Yung,et al.  A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance , 2003, IEEE Trans. Syst. Man Cybern. Part B.

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

[6]  Inman Harvey.  Artificial Evolution: A Continuing SAGA , 2001, EvoRobots.

[7]  P. N. Paraskevopoulos,et al.  Digital Control Systems , 1991 .

[8]  Seiji Yamada,et al.  Interactive classifier system for real robot learning , 2000, Proceedings 9th IEEE International Workshop on Robot and Human Interactive Communication. IEEE RO-MAN 2000 (Cat. No.00TH8499).

[9]  Alessandro Saffiotti,et al.  The uses of fuzzy logic in autonomous robot navigation , 1997, Soft Comput..

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

[11]  Alessandro Saffiotti,et al.  Fuzzy Logic Techniques for Autonomous Vehicle Navigation , 2001 .

[12]  D. K. Pratihar,et al.  Fuzzy-genetic algorithms and mobile robot navigation among static obstacles , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[13]  Lefteris Doitsidis,et al.  Evolution of Fuzzy Controllers for Robotic Vehicles: The Role of Fitness Function Selection , 2009, J. Intell. Robotic Syst..

[14]  Stefano Nolfi,et al.  Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines , 2000 .

[15]  José M. Molina López,et al.  Genetic learning of fuzzy reactive controllers , 1998, Robotics Auton. Syst..

[16]  Kimon P. Valavanis,et al.  Autonomous vehicle navigation utilizing electrostatic potential fields and fuzzy logic , 2001, IEEE Trans. Robotics Autom..

[17]  Kiyotaka Izumi,et al.  Evolutionary Learning of a Fuzzy Behavior Based Controller for a Nonholonomic Mobile Robot in a Class of Dynamic Environments , 2001, J. Intell. Robotic Syst..

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

[19]  HANI HAGRAS,et al.  Outdoor mobile robot learning and adaptation , 2001, IEEE Robotics Autom. Mag..

[20]  Amine Chohra,et al.  Neural Navigation Approach for Intelligent Autonomous Vehicles (IAV) in Partially Structured Environments , 1998, Applied Intelligence.

[21]  Joseph A. Driscoll,et al.  A development environment for evolutionary robotics , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[22]  David H. Ackley,et al.  Interactions between learning and evolution , 1991 .

[23]  José M. Molina,et al.  Neural networks robot controller trained with evolution strategies , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[24]  Fumio Harashima,et al.  A self-organized fuzzy controller for wheeled mobile robot using an evolutionary algorithm , 2001, IEEE Trans. Ind. Electron..

[25]  Francesco Mondada,et al.  Evolution of homing navigation in a real mobile robot , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[26]  Yasuhisa Hasegawa,et al.  Evolutionary computing in robotics , 2006, Artificial Life and Robotics.

[27]  Gary B. Parker,et al.  The co-evolution of model parameters and control programs in evolutionary robotics , 1999, Proceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation. CIRA'99 (Cat. No.99EX375).

[28]  Jean-Arcady Meyer,et al.  Evolutionary approaches to neural control in mobile robots , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

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

[30]  Orazio Miglino,et al.  A “Noise Gene” for Econets , 1993 .

[31]  Olivier Chocron,et al.  Evolving walking robots for global task based design , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[32]  Senén Barro,et al.  Evolutionary Learning of a Fuzzy Controller for Mobile Robotics , 2005 .

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

[34]  Jordan B. Pollack,et al.  Embodied evolution: embodying an evolutionary algorithm in a population of robots , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[35]  Frank Hoffmann,et al.  Evolutionary design of a fuzzy knowledge base for a mobile robot , 1997, Int. J. Approx. Reason..

[36]  Bakir Lacevic,et al.  Evolutionary Design of Fuzzy Logic Based Position Controller for Mobile Robot , 2011, J. Intell. Robotic Syst..

[37]  Hitoshi Iba,et al.  Applying Evolvable Hardware to Autonomous Agents , 1994, PPSN.

[38]  Frank Hoffmann,et al.  Evolutionary Design of a Helicopter Autopilot , 1999 .

[39]  T. E. Revello,et al.  A cost term in an evolutionary robotics fitness function , 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

[40]  Hani Hagras,et al.  Learning and adaptation of an intelligent mobile robot navigator operating in unstructured environment based on a novel online Fuzzy-Genetic system , 2004, Fuzzy Sets Syst..

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

[42]  Seung-Ik Lee,et al.  Emergent behaviors of a fuzzy sensory-motor controller evolved by genetic algorithm , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[43]  Xiaoyu Yang,et al.  A layered goal-oriented fuzzy motion planning strategy for mobile robot navigation , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[44]  Tong Heng Lee,et al.  Evolvable Hardware in Evolutionary Robotics , 2004, Auton. Robots.

[45]  Corneliu T. C. Arsene,et al.  Control of autonomous robots using fuzzy logic controllers tuned by genetic algorithms , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[46]  Lingfeng Wang,et al.  Book Review Evolutionary Robotics: from Algorithms to Implementations Evolutionary Robotics: from Algorithms to Implementations , 2022 .

[47]  Emil M. Petriu,et al.  Behavior-based neuro-fuzzy controller for mobile robot navigation , 2003, IEEE Trans. Instrum. Meas..

[48]  Stefano Nolfi,et al.  Adaptation as a more powerful tool than decomposition and integration: experimental evidences from evolutionary robotics , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[49]  Nick Jacobi,et al.  Running Across the Reality Gap: Octopod Locomotion Evolved in a Minimal Simulation , 1998, EvoRobot.

[50]  John J. Grefenstette,et al.  Incremental Learning of Control Strategies with Genetic algorithms , 1989, ML.

[51]  Adrian Thompson,et al.  Evolving Electronic Robot Controller that Exploit Hardware Resources , 1995, ECAL.

[52]  Inman Harvey,et al.  Explorations in Evolutionary Robotics , 1993, Adapt. Behav..