Artificial Intelligence
Learning metric-topological maps for indoor mobile robot navigation
Artificial Intelligence
The spatial semantic hierarchy
Artificial Intelligence
CommonKADS: A Comprehensive Methodology for KBS Development
IEEE Expert: Intelligent Systems and Their Applications
Using Machine Learning Techniques in Real-World Mobile Robots
IEEE Expert: Intelligent Systems and Their Applications
Spatial semantic hierarchy for a physical mobile robot
Spatial semantic hierarchy for a physical mobile robot
The centre of area method as a basic mechanism for representation and navigation
Robotics and Autonomous Systems
Partial Center of Area Method Used for Reactive Autonomous Robot Navigation
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Mathematical Foundations of the Center of Area Method for Robot Navigation
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
Reactive navigation in real environments using partial center of area method
Robotics and Autonomous Systems
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The problem of modelling and reducing knowledge needed to build an internal representation of the environment is still a milestone in robotics. This representation task is crucial for both understanding perception in humans and programming advanced robots with reasonable navigation skills.In this chapter, we propose an analytical method for decomposing this representation task in terms of a set of primitive inferences. All these inferences race analytical transformations of the sensory data that expand the input space, use rules to compute the centre of areas and polygons of open space and, finally, build a topological graph with possibilities of being updated by learning and used for navigation.The methodological approach followed in this chapter is to search for a library of reusable modelling components that could be used to solve other similar problems of topological representation.