The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of CIRCUITS, SYSTEMS and SIGNAL PROCESSING
Transactions ID Number: 20-496
Full Name: Hachour Ouarda
Position: Doctor (Researcher)
Age: ON
Sex: Female
Address: BP N 216 Ain Benian Algiers
Country: ALGERIA
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E-mail address: kala_ouarda@yahoo.fr
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Title of the Paper: the proposed naural 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: 8
Abstract: In this present work, we present an algorithm for path planning to a target for mobile robot in unknown environment based on the principle of fuzzification. To build intelligent systems that are able to perform complex requiring massively parallel computation, a knowledge of the environment structure and interacting with it involves abstract appreciation of natural concepts related to, the proximity, degree of danger, etc. the implied natural language is represented through fuzzy sets involving classes with gradually varying transition boundaries. As human reasoning is not based on the classical two-valued logic, this process involves fuzzy truths, fuzzy deduction rules, etc. This is the reason why FL is closer to human thinking and natural language than classical logic. In this context, our proposed algorithm allows a mobile robot to navigate through static obstacles, and finding the path in order to reach the target without collision. This algorithm provides the!
robot the possibility to move from the initial position to the final position (target). The proposed path finding strategy is designed in a grid-map form of an unknown environment with static unknown obstacles. The robot moves within the unknown environment by sensing and avoiding the obstacles coming across its way towards the target. When the mission is executed, it is necessary to plan an optimal or feasible path for itself avoiding obstructions in its way and minimizing a cost such as time, energy, and distance. In order to get an intelligent component, the use of Fuzzy Logic In order to get an intelligent component, the use of Fuzzy Logic (FL), and Expert Systems (ES) is necessary to bring the behavior of Intelligent Autonomous System (IAS). The results are satisfactory to see the great number of environments treated. The results are satisfactory and promising for next developments and more design.
Keywords: Autonomous Mobile Robot (AMR), optimal path, Fuzzy logic (FL),Expert system (ES), fuzzy reasoning
EXTENSION of the file: .pdf
Special (Invited) Session: the proposed naural natwork navigation
Organizer of the Session: 150-114
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