The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of SYSTEMS ENGINEERING, APPLICATIONS AND DEVELOPMENT
Transactions ID Number: 17-170
Full Name: Ouarda Hachour
Position: Doctor (Researcher)
Age: ON
Sex: Female
Address: BP N°216 Ain Benian Algiers Algeria
Country: ALGERIA
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E-mail address: kala_ouarda@yahoo.fr
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Title of the Paper: Navigating Mobile Robot
Authors as they appear in the Paper: Ouarda Hachour
Email addresses of all the authors: kala_ouarda@yahoo.fr
Number of paper pages: 8
Abstract: In this present work, we propose a simple and an efficient collision free-navigation planning approach for autonomous mobile robot is proposed in which the robot navigates, avoids obstacles and attends its target. The proposed approach is trained in unknown environments. The proposed approach is trained in unknown environments. The robot starts from any position then it must move by sensing and avoiding the obstacles. The robot starts from any position then it must move by sensing and avoiding the obstacles. The robot must then be able to understand the structure of the environments to find a way towards its target without collisions. To reach the destination, the robot will explore the environment, looking at the floor and locating the first obstacles. Once a new obstacle is detected, the robot changes the path to reach the destination. The robot starts to travel along a planned path, to find a collision-free trajectory between the starting configuration and the g!
oal configuration in its environment containing some obstacles. Moreover, when a robot moves in a specific space, it is necessary to select a most reasonable path so as to avoid collisions with obstacles. To feat this level of robustness, we propose our algorithm of navigation approach in unknown environments, in which the robot navigates, avoids obstacles and attends its target. The main steps of developments are explained in detail. The results are satisfactory to next developments
Keywords: Autonomous Mobile Robot (AMR), Artificial Intelligence, Intelligent control, Motion Planning, Autonomy requirements
EXTENSION of the file: .pdf
Special (Invited) Session: autonomous mobile robots in unknown environments
Organizer of the Session: 659-131
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