Intelligence without representation
Artificial Intelligence
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Introduction to AI Robotics
An Algorithm for Robot Path Planning with Cellular Automata
Proceedings of the Fourth International Conference on Cellular Automata for Research and Industry: Theoretical and Practical Issues on Cellular Automata
Integrating behavioral, perceptual, and world knowledge in reactive navigation
Robotics and Autonomous Systems
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Knowledge representation of pedestrian dynamics in crowd: formalism of cellular automata
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
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One of the fundamental skills of an autonomous mobile robot is its ability to determine a collision-free path in a dynamically changing environment. To meet this challenge, robots often have their own world model - an internal representation of the environment. Such a representation allows them to predict future changes to the environment, and thus to plan further moves and actions. This paper presents an agent-oriented dynamic world model built on top of asynchronous non-homogeneous cellular automaton, equipped with the new collision-free path finding algorithm based on a lazy potential field function. The presented abstract model is preliminarily verified using a specially designed middleware library supporting cellular model simulations.