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A survey on Navigation Systems in Dynamic Environments

Published: 22 March 2021 Publication History

Abstract

Mobile robot navigation is a method of guiding a robot to accomplish a mission through an environment with obstacles in a good and safe manner. The main challenge of current mobile robotics is to develop intelligent navigation systems, where autonomous navigation is a research focus that aims to give a machine the ability to move in an unassisted environment, without human intervention to accomplish the desired goal. The task of navigation is to give the robot the opportunity to obtain the information it needs to reason and equip it with a locomotion capacity adapted to its environment. However, it implies complex systems in the realization, where their control poses important problems not only technological but also scientific. An autonomous mobile robot is a mechanical system that must be able to make decisions to perform movements based on information about its position and the environment in which it operates.
The problem addressed in this article is that of autonomous navigation in a dynamic environment "The objective is to study models and computer techniques allowing a mobile robot to move autonomously, that is to say without intervention in an uncertain environment and in the presence of obstacles.

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ICIST '20: Proceedings of the 10th International Conference on Information Systems and Technologies
June 2020
292 pages
ISBN:9781450376556
DOI:10.1145/3447568
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 22 March 2021

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Author Tags

  1. Intelligent control
  2. Path planning algorithm
  3. collision avoidance approach
  4. dynamic Environments
  5. mobile robots

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