A review on applications of soft computing in design and development of intelligent autonomous robots

[1]  Anish Pandey,et al.  Intelligent navigation and control of a mobile robot in static and dynamic environments using hybrid fuzzy architecture , 2017, Int. J. Auton. Comput..

[2]  Maoguo Gong,et al.  Multi-objective evolutionary fuzzy clustering for image segmentation with MOEA/D , 2016, Appl. Soft Comput..

[3]  Vali Derhami,et al.  Supervised fuzzy reinforcement learning for robot navigation , 2016, Appl. Soft Comput..

[4]  Dayal R. Parhi,et al.  Navigation of multiple mobile robots in a highly clutter terrains using adaptive neuro-fuzzy inference system , 2015, Robotics Auton. Syst..

[5]  Hassan Mathkour,et al.  Comparative study of soft computing techniques for mobile robot navigation in an unknown environment , 2015, Comput. Hum. Behav..

[6]  Mikel Larrea,et al.  Implementation and testing of a soft computing based model predictive control on an industrial controller , 2015, J. Appl. Log..

[7]  Dongkyoung Chwa,et al.  Obstacle Avoidance Method for Wheeled Mobile Robots Using Interval Type-2 Fuzzy Neural Network , 2015, IEEE Transactions on Fuzzy Systems.

[8]  Hanqiang Liu,et al.  A multiobjective spatial fuzzy clustering algorithm for image segmentation , 2015, Appl. Soft Comput..

[9]  Mohammad Hassan Khooban,et al.  Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robots , 2015 .

[10]  Dan Simon,et al.  Multirate multisensor data fusion for linear systems using Kalman filters and a neural network , 2014 .

[11]  Tao Mei,et al.  Motion Planning for Autonomous Vehicle Based on Radial Basis Function Neural Network in Unstructured Environment , 2014, Sensors.

[12]  Somen Debnath,et al.  Path planning of mobile robot with neuro-genetic-fuzzy technique in static environment , 2014, Int. J. Hybrid Intell. Syst..

[13]  Dilip Kumar Pratihar,et al.  Soft Computing: Fundamentals and Applications , 2013 .

[14]  M. S. Nair,et al.  Soft computing approaches for image restoration and enhancement , 2013 .

[15]  T. Karthikeya Sharma,et al.  Satellite Image Feature Extraction Using Neural Network Technique , 2013 .

[16]  Madasu Hanmandlu,et al.  Binarization based edge detection using universal law of gravity and ant colony optimization , 2012, Int. J. Hybrid Intell. Syst..

[17]  Alaa F. Sheta,et al.  Feature based 3D Object Recognition using Artificial Neural Networks , 2012 .

[18]  Trong-Thuc Hoang,et al.  A Real-time Image Feature Extraction Using Pulse-Coupled Neural Network , 2012 .

[19]  Kelly Cohen,et al.  Fuzzy Logic Unmanned Air Vehicle Motion Planning , 2012, Adv. Fuzzy Syst..

[20]  D. K. Pratihar,et al.  Particle Swarm Optimization Algorithm vs Genetic Algorithm to Develop Integrated Scheme for Obtaining Optimal Mechanical Structure and Adaptive Controller of a Robot , 2011 .

[21]  Ming-Chung Fang,et al.  The application of the self-tuning neural network PID controller on the ship roll reduction in random waves , 2010 .

[22]  N. Senthilkumaran,et al.  Image Segmentation - A Survey of Soft Computing Approaches , 2009, 2009 International Conference on Advances in Recent Technologies in Communication and Computing.

[23]  Tzuu-Hseng S. Li,et al.  Fuzzy Target Tracking and Obstacle Avoidance of Mobile Robots with a Stereo Vision System , 2009 .

[24]  Dilip Kumar Pratihar,et al.  A comparative study on some navigation schemes of a real robot tackling moving obstacles , 2009 .

[25]  Xinghuo Yu,et al.  Sliding-Mode Control With Soft Computing: A Survey , 2009, IEEE Transactions on Industrial Electronics.

[26]  D R Parhi,et al.  Real-time navigational control of mobile robots using an artificial neural network , 2009 .

[27]  Dilip Kumar Pratihar,et al.  Fuzzy-Logic-Based Screening and Prediction of Adult Psychoses: A Novel Approach , 2009, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[28]  M. F. Rahmat,et al.  Application Of Self-Tuning Fuzzy Pid Controller On Industrial Hydraulic Actuator Using System Identification Approach , 2009 .

[29]  Dilip Kumar Pratihar,et al.  Camera calibration using a genetic algorithm , 2008 .

[30]  A. Srividya,et al.  Multi-Sensor Data Fusion in Cluster based Wireless Sensor Networks Using Fuzzy Logic Method , 2008, 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems.

[31]  Robert Cierniak,et al.  A 2D approach to tomographic image reconstruction using a Hopfield-type neural network , 2008, Artif. Intell. Medicine.

[32]  Nurkan Yagiz,et al.  Fuzzy Sliding-Mode Control of Active Suspensions , 2008, IEEE Transactions on Industrial Electronics.

[33]  John H. Lilly,et al.  Evolution of a Negative-Rule Fuzzy Obstacle Avoidance Controller for an Autonomous Vehicle , 2007, IEEE Transactions on Fuzzy Systems.

[34]  Madasu Hanmandlu,et al.  An Optimal Fuzzy System for Color Image Enhancement , 2006, IEEE Transactions on Image Processing.

[35]  Dilip Kumar Pratihar,et al.  Time-optimal, collision-free navigation of a car-like mobile robot using neuro-fuzzy approaches , 2006, Fuzzy Sets Syst..

[36]  Piotr Tatjewski,et al.  Soft computing in modelbased predictive control footnotemark , 2006 .

[37]  Woo-Kyung Choi,et al.  Multiple Sensor Fusion and Motion Control of Snake Robot Based on Soft-Computing , 2005, KES.

[38]  Dilip Kumar Pratihar,et al.  Automatic design of fuzzy logic controller using a genetic algorithm for collision-free, time-optimal navigation of a car-like robot , 2005, Int. J. Hybrid Intell. Syst..

[39]  Zhou Zhihua,et al.  An intelligent medical image understanding method using two-tier neural network ensembles , 2005 .

[40]  Toru Yamamoto,et al.  A Design of Neural-Net Based PID Controllers with Evolutionary Computation , 2004 .

[41]  Kunihiko Fukushima,et al.  Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.

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

[43]  Detlef Nauck,et al.  SPIDA — A Novel Data Analysis Tool , 2003 .

[44]  M. Abdulghafour.  Image Segmentation using Fuzzy Logic and Genetic Algorithms , 2003, International Conference in Central Europe on Computer Graphics and Visualization.

[45]  Wolfgang Bibel,et al.  Path Planning for Cooperating Robots Using a GA-Fuzzy Approach , 2001, Advances in Plan-Based Control of Robotic Agents.

[46]  A. Visioli.  Tuning of PID controllers with fuzzy logic , 2001 .

[47]  Yi Sun,et al.  Hopfield neural network based algorithms for image restoration and reconstruction. II. Performance analysis , 2000, IEEE Trans. Signal Process..

[48]  Juan A. Méndez,et al.  Obstacle Avoidance Using the Human Operator Experience for a Mobile Robot , 2000, J. Intell. Robotic Syst..

[49]  Max Q.-H. Meng,et al.  An efficient neural network approach to dynamic robot motion planning , 2000, Neural Networks.

[50]  Tzuu-Hseng S. Li,et al.  Switching-type fuzzy sliding mode control of a cart–pole system , 2000 .

[51]  Michel Grabisch,et al.  New Pattern Recognition Tools Based on Fuzzy Logic for Image Understanding , 2000 .

[52]  Hiroaki Kitano,et al.  RoboCup: Today and Tomorrow - What we have learned , 1999, Artif. Intell..

[53]  Mark E. Oxley,et al.  Physiologically motivated image fusion for object detection using a pulse coupled neural network , 1999, IEEE Trans. Neural Networks.

[54]  P Knoll,et al.  An artificial neural net and error backpropagation to reconstruct single photon emission computerized tomography data. , 1999, Medical physics.

[55]  Kalyanmoy Deb,et al.  A genetic-fuzzy approach for mobile robot navigation among moving obstacles , 1999, Int. J. Approx. Reason..

[56]  Rachid Alami,et al.  An Architecture for Autonomy , 1998, Int. J. Robotics Res..

[57]  Andon V. Topalov,et al.  Intelligent Sensor-Based Navigation and Control of Mobile Robot in a Partially Known Environment , 1998 .

[58]  Raghu Krishnapuram,et al.  A robust approach to image enhancement based on fuzzy logic , 1997, IEEE Trans. Image Process..

[59]  Wei Li,et al.  A neuro-fuzzy system architecture for behavior-based control of a mobile robot in unknown environments , 1997, Fuzzy Sets Syst..

[60]  James Llinas,et al.  An introduction to multisensor data fusion , 1997, Proc. IEEE.

[61]  Hans-Peter Kriegel,et al.  A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.

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

[63]  Henrik Hautop Lund,et al.  From simulated to real robots , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[64]  James Kennedy,et al.  Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[65]  Malur K. Sundareshan,et al.  A recurrent neural network-based adaptive variable structure model-following control of robotic manipulators , 1995, Autom..

[66]  Giovanni Ramponi,et al.  A fuzzy operator for the enhancement of blurred and noisy images , 1995, IEEE Trans. Image Process..

[67]  J P Kerr,et al.  A statistically tailored neural network approach to tomographic image reconstruction. , 1995, Medical physics.

[68]  Hyung Suck Cho,et al.  A sensor-based navigation for a mobile robot using fuzzy logic and reinforcement learning , 1995, IEEE Trans. Syst. Man Cybern..

[69]  Stefano Nolfi,et al.  Evolving Mobile Robots in Simulated and Real Environments , 1995, Artificial Life.

[70]  Peter Kwong-Shun Tam,et al.  Solving the motion planning problem by using neural networks , 1994, Robotica.

[71]  Francesco Mondada,et al.  Automatic creation of an autonomous agent: genetic evolution of a neural-network driven robot , 1994 .

[72]  Patrick Reignier,et al.  Fuzzy logic techniques for mobile robot obstacle avoidance , 1994, Robotics Auton. Syst..

[73]  Guanrong Chen,et al.  Fuzzy logic approach to object recognition , 1993 .

[74]  Mo Jamshidi,et al.  Fuzzy logic based collision avoidance for a mobile robot , 1993, Third International Conference on Industrial Fuzzy Control and Intelligent Systems.

[75]  Ashutosh Malaviya,et al.  Object recognition using fuzzy set theoretic techniques , 1993, Defense, Security, and Sensing.

[76]  Sim Heng Ong,et al.  Image reconstruction by a Hopfield neural network , 1993, Image Vis. Comput..

[77]  Alan K. Mackworth.  On Seeing Robots , 1993, Computer Vision: Systems, Theory and Applications.

[78]  Aggelos K. Katsaggelos,et al.  Image restoration using a modified Hopfield network , 1992, IEEE Trans. Image Process..

[79]  Gang Wang,et al.  Fuzzy sets and fusion of multisensor data , 1992, Kybernetika (Praha).

[80]  Arun D. Kulkarni,et al.  Artificial neural network models for image understanding , 1991, Electronic Imaging.

[81]  James S. Albus,et al.  Outline for a theory of intelligence , 1991, IEEE Trans. Syst. Man Cybern..

[82]  Kalmanje Krishnakumar,et al.  Micro-Genetic Algorithms For Stationary And Non-Stationary Function Optimization , 1990, Other Conferences.

[83]  Tomoyoshi Takeuchi,et al.  Fuzzy control of a mobile robot for obstacle avoidance , 1988, Inf. Sci..

[84]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[85]  R. Lewitt.  Reconstruction algorithms: Transform methods , 1983, Proceedings of the IEEE.

[86]  Y. Censor.  Finite series-expansion reconstruction methods , 1983, Proceedings of the IEEE.

[87]  Sankar K. Pal,et al.  Image description and primitive extraction using fuzzy sets , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[88]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..

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

[90]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[91]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.