Toward efficient trajectory planning: the path-velocity decomposition
International Journal of Robotics Research
Fuzzy control of a mobile robot for obstacle avoidance
Information Sciences: an International Journal - Application of Fuzzy Set Theory
Reliable goal-directed reactive control of autonomous mobile robots
Reliable goal-directed reactive control of autonomous mobile robots
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Robot Motion Planning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Dynamic Control of Genetic Algorithms Using Fuzzy Logic Techniques
Proceedings of the 5th International Conference on Genetic Algorithms
An analytic approach to moving obstacle avoidance using an artificial potential field
IROS '95 Proceedings of the International Conference on Intelligent Robots and Systems-Volume 2 - Volume 2
New lower bound techniques for robot motion planning problems
SFCS '87 Proceedings of the 28th Annual Symposium on Foundations of Computer Science
Path planning through time and space in dynamic domains
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Learning reactive and planning rules in a motivationally autonomousanimat
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolution of homing navigation in a real mobile robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Rapid, safe, and incremental learning of navigation strategies
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Model-based learning for mobile robot navigation from the dynamicalsystems perspective
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Spatial learning for navigation in dynamic environments
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A Data-Driven Fuzzy Approach to Robot Navigation Among Moving Obstacles
IDEAL '00 Proceedings of the Second International Conference on Intelligent Data Engineering and Automated Learning, Data Mining, Financial Engineering, and Intelligent Agents
Diagnosis Based on Genetic Algorithms and Fuzzy Logic in NPPs
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Path Planning for Cooperating Robots Using a GA-Fuzzy Approach
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
An efficient data-driven fuzzy approach to the motion planning problem of a mobile robot
Fuzzy Sets and Systems - Special issue: Fuzzy set techniques for intelligent robotic systems
Diagnosis of the diseases: using a GA-fuzzy approach
Information Sciences: an International Journal - Special issue: Medical expert systems
A sensor-based navigation algorithm for a mobile robot using fuzzy logic
International Journal of Robotics and Automation
Design of a fuzzy controller in mobile robotics using genetic algorithms
Applied Soft Computing
International Journal of Hybrid Intelligent Systems
Knowledge transfer between robots with identical tasks execution
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Design and simulation of an intelligent controller for a missile avoiding airplane
ISTASC'06 Proceedings of the 6th WSEAS International Conference on Systems Theory & Scientific Computation
Reinforcement based mobile robot navigation in dynamic environment
Robotics and Computer-Integrated Manufacturing
Automatic rule tuning of a fuzzy logic controller using particle swarm optimisation
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part II
Navigation of autonomous robots using genetic algorithms
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
A service oriented architecture for decision making in engineering design
EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing
Door traversing for a vision-based mobile robot using PCA
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Diagnosis of Arthritis Through Fuzzy Inference System
Journal of Medical Systems
Fuzzy logic unmanned air vehicle motion planning
Advances in Fuzzy Systems
An integration of fuzzy inference systems and Genetic Algorithms for Wireless Sensor Networks
International Journal of Hybrid Intelligent Systems
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In this paper, a genetic-fuzzy approach is developed for solving the motion planning problem of a mobile robot in the presence of moving obstacles. The application of combined soft computing techniques - neural network, fuzzy logic, genetic algorithms, tabu search and others - is becoming increasingly popular among various researchers due to their ability to handle imprecision and uncertainties that are often present in many real-world problems. In this study, genetic algorithms are used for tuning the scaling factors of the state variables (keeping the relative spacing of the membership distributions constant) and rule sets of a fuzzy logic controller (FLC) which a robot uses to navigate among moving obstacles. The use of an FLC makes the approach easier to be used in practice. Although there exist many studies involving classical methods and using FLCs they are either computationally extensive or they do not attempt to find optimal controllers. The proposed genetic-fuzzy approach optimizes the travel time of a robot off-line by simultaneously finding an optimal fuzzy rule base and optimal scaling factors of the state variables. A mobile robot cant then use this optimal FLC on-line to navigate in presence of moving obstacles. The results of this study on a number of problem scenarios show that the proposed genetic-fuzzy approach can produce efficient knowledge base of an FLC for controlling the motion of a robot among moving obstacles.