المجلة الجزائرية للعلوم
Volume 7, Numéro 14, Pages 95-102
2021-06-03

Bio‐inspired Techniques For Robots Autonomous Navigation: A Survey

Authors : Abderrahmane Gaham . Ahlem Melouah . Mohamed Amine Yakoubi .

Abstract

This paper presents the current robot automatic navigation methods based on bio- inspired techniques. An autonomous robot has to be able to acquire the information it needs to reason and to provide it with a locomotion capacity adapted to its environment. However, it is necessary to understand the basic functions that are required for robots to think and work like humans, it involves complex systems in the realization, on the one hand, technological where this mechanical system capable of navigating anywhere using sensor-actuator control techniques. And on the other hand scientific is how to transform this normal mobility into intelligent navigation the basis of the functions of planning, action, monitoring, perception, and reasoning. These functions help the robot to develop its skills, which can control a mobile robot autonomously in a static and/or dynamic environment and avoid obstacles based on information about its position and the environment in which it is operating.

Keywords

Automatic navigation, Planning algorithm collision Avoidance approach dynamic, Environnements intelligent control Mobile robot.

Un Modèle De Planification Multi Robots Base Sur Les Algorithmes Géné-tiques Pour La Navigation Optimale De Robots Autonomes

Abdelmdjid Benmachiche .  Tahar Bouhadada .  Amina Makhlouf .  Majda Maatallah . 
pages 47-50.


Un Modèle De Planification Multi Robots Base Sur Les Algorithmes Géné-tiques Pour La Navigation Optimale De Robots Autonomes

Abdelmdjid Benmachiche .  Tahar Bouhadada .  Amina Makhlouf .  Majda Maatallah . 
pages 47-50.


Cooperative Approach Navigation For Autonomous Mobile Robots (ap-plication On A Building Site)

Abdelmdjid Benmachiche .  Tahar Bouhadada .  Amina Makhlouf .  Meriem Zekri .  Majda Maatallah . 
pages 41-45.


Contextual Collaborative Filtering Recommandations Using Bio‐ Inspired Algorithm

Btissem Gasmi .  Hassina Seridi-bouchelaghem .  Fouzia Anguel . 
pages 36-40.