About: Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization

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type	http://eprints.org/ontology/ConferenceItemEPrint http://eprints.org/ontology/EPrint Article Academic Article
seeAlso	HTML Summary of #81040 Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization
sameAs	Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization
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http://eprints.org/ontology/hasDocument	Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (PDF) Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other) Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other) Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other) Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other) Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (Other)
dc:hasVersion	Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization (PDF)
Title	Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization
described by	https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
Date	2020-06-25
Creator	Claudio Toledo Colin G. Johnson Fernando E.B. Otero Fernando Osorio Valeria Santos
status	peer reviewed published
Publisher	ACM
abstract	In the path planning task for autonomous mobile robots, robots should be able to plan their trajectory to leave the start position and reach the goal, safely. There are several path planning approaches for mobile robots in the literature. Ant Colony Optimization algorithms have been investigated for this problem, giving promising results. In this paper, we propose the Max-Min Ant System for Dynamic Path Planning algorithm for the exploratory path planning task for autonomous mobile robots based on topological maps. A topological map is an environment representation whose focus is the main reference points of the environment and their connections. Based on this representation, the path can be composed by a sequence of state/actions pairs, which facilitates the navigability of the path, with no need to have the information of the complete map. The proposed algorithm was evaluated in static and dynamic envi- ronments, showing promising results in both of them. Experiments in dynamic environments show the adaptability of our proposal.
Is Part Of	https://kar.kent.ac.uk/id/repository
Subject	Q335 Artificial intelligence
list of authors	https://kar.kent.ac.uk/id/eprint/81040#authors
presented at	Genetic and Evolutionary Computation Conference (GECCO ’20)
is topic of	https://www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/export_kar_RDFN3.n3
is primary topic of	HTML Summary of #81040 Exploratory Path Planning for Mobile Robots in Dynamic Environments with Ant Colony Optimization

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