Fuzzy Sets and Systems - Special issue: Approximate Reasoning in Words
An architecture to coordinate fuzzy behaviors to control an autonomous robot
Fuzzy Sets and Systems - Special issue: Fuzzy set techniques for intelligent robotic systems
Robotics and Autonomous Systems
Simplification of fuzzy-neural systems using similarity analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A fuzzy knowledge-based system for intelligent retrieval
IEEE Transactions on Fuzzy Systems
Control of a nonholonomic mobile robot using neural networks
IEEE Transactions on Neural Networks
A semantic model for actions and events in ambient intelligence
Engineering Applications of Artificial Intelligence
The study of a vision-based pedestrian interception system
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I
Motion planning of autonomous vehicles in a non-autonomous vehicle environment without speed lanes
Engineering Applications of Artificial Intelligence
Multi-objective optimization for dynamic task allocation in a multi-robot system
Engineering Applications of Artificial Intelligence
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This paper proposes an intelligent task planning and action selection mechanism for a mobile robot in a robot soccer system through a fuzzy neural network approach. The proposed fuzzy neural network system is developed through the two dimensional fuzzification of the soccer field. A five layer fuzzy neural network system is trained through error back propagation learning algorithm to impart a strategy based action selection. The action selection depends on the field configuration, and the emergence of a particular field configuration results from the game dynamics. Strategy of the robot changes when the configuration of the objects in the field changes. The proposed fuzzy neural network structure is flexible to accommodate all possible filed configurations. Simulation results indicate that the proposed approach is simple and has the capability in coordinating the multi-agent system through selection of sensible actions.