Cambrian intelligence: the early history of the new AI
Cambrian intelligence: the early history of the new AI
The spatial semantic hierarchy
Artificial Intelligence
An Behavior-based Robotics
Topological Modeling with Fuzzy Petri Nets for Autonomous Mobile Robots
IEA/AIE '98 Proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial In telligence and Expert Systems: Tasks and Methods in Applied Artificial Intelligence
Cognitive Modeling for Navigation of Mobile Robots Using the Sensory Gradient Concept
EUROCAST '97 Proceedings of the A Selection of Papers from the 6th International Workshop on Computer Aided Systems Theory
Constructing maps for mobile robot navigation based on ultrasonic range data
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Integration of reactive utilitarian navigation and topological modeling
Autonomous robotic systems
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
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In this paper two methods for the detection and recognition of landmarks to be used in topological modeling for autonomous mobile robots are presented. The first method is based on odometric information and the distance between the estimated position of the robot and the already existing landmarks. Due to significant errors arising in the robot's position measurements, the distance-based recognition method performs quite poorly. For such reason a much more robust method, which is based on a neural network formed by perceptrons as the basic neural unit is proposed. Apart from performing very satisfactorily in the detection and recognition of landmarks, the simplicity of the selected ANN architecture makes its implementation very attractive from the computational standpoint and guarantees its application to real-time autonomous navigation.