The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of SYSTEMS ENGINEERING, APPLICATIONS AND DEVELOPMENT
Transactions ID Number: 19-877
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: The Proposed Neural Networks Navigation Approach
Authors as they appear in the Paper: Hachour Ouarda
Email addresses of all the authors: kala_ouarda@yahoo.fr
Number of paper pages: 10
Abstract: Motion planning is one of the important tasks in intelligent control of an autonomous mobile robot. Path planning is to generate a collision free path in an environment with obstacles with respect to some criterion. Trajectory planning is to schedule the movement of a mobile robot along the planned path. Several approaches have been proposed to address the problem of motion planning of a mobile robot. If the environment is a known static terrain and it generates a path in advance it said to be off-line algorithm. It is said to be on-line if it is capable of producing a new path in response to environmental changes. Also, robots must learn during the navigation process, build a map representing the knowledge from sensors, update this one and use it for intelligently 3D planning and controlling the navigation. The simulation results display the ability of the neural networks based approach providing autonomous mobile robots with capability to intelligently navigate i!
n several environments.This paper presents an algorithm for three dimensional (3D) path planning to a target for mobile robot in unknown environment. A few path planning algorithms are described here followed by the aim work of research in detail. Our autonomous mobile robot is able to achieve these tasks: avoiding 3D obstacles, taking a suitable decision, and attending the target which are the main factors to be realized of autonomy requirements. Using our principle of set creation IP and the results of SET(2*n); the 3D algorithm returns the best response of any entering map parameters. The key idea is around the main line from the source to the destination and the mth obstacle causing the collision where they construct the 3D feasible path (a set of non linear segments) which is the neighbour of non linear safety size robot segments. The concept is explained in detail. The robot moves within the unknown 3D environment by sensing and avoiding the obstacles coming across it!
s way towards the target. The proposed algorithm deals with 3D environ
ment complexity and finds the optimal feasible path.
Keywords: Intelligent Autonomous Mobiles Robots , Path planning, Workspace, Intelligent Control,3D objects
EXTENSION of the file: .pdf
Special (Invited) Session: The Proposed Neural Networks Navigation Approach
Organizer of the Session: 150-114
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