The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of MATHEMATICAL MODELS AND METHODS IN APPLIED SCIENCES
Transactions ID Number: 17-157
Full Name: OUARDA Hachour
Position: Doctor (Researcher)
Age: ON
Sex: Female
Address: BP N°216 Ain Benian Algiers Algeria
Country: ALGERIA
Tel:
Tel prefix:
Fax:
E-mail address: hachour_ouarda@yahoo.fr
Other E-mails:
Title of the Paper: Autonomous Robot Navigation in unknown environments
Authors as they appear in the Paper: Ouarda Hachour
Email addresses of all the authors:
Number of paper pages: 8
Abstract: In this paper, we present a novel approach based on intelligent computing which offers to the autonomous mobile system the ability to realize these factors: recognition, learning, decision-making, and action (the principle obstacle avoidance problems). In most practical situations, the mobile robot can not take the most direct path from the start to the goal point. So , Motion finding techniques must be used in this situation, and the simplified kinds of planning mission involve going from the start point to the goal point while minimizing some cost such as time spent, chance of detection, or fuel consumption. The robot has to find a collision-free trajectory between the starting configuration and the goal configuration in a static unknown environment containing some unknown obstacles. . These environments were randomly generated and are unknown . The input parameters Map contain the ground information. To deal with the principle, the robot needs the capability to !
build a map of the environment, which is essentially a repetitive process of moving to a new position, sensing the environment, updating the map, and planning subsequent motion. This is necessary to build the trajectory of sub positions " the feasible trace line towards the target without collisions ». Hence, a mobile robot detects unknown hazardous obstacle on the path and finds its free path without collision. The main details of concept are clarified. The results are promising for next development
Keywords: Autonomous Mobile Robot (AMR), Workspace, Artificial Intelligence, Intelligent control, Motion finding
EXTENSION of the file: .pdf
Special (Invited) Session: Autonomous Mobile robots motion in unknown environments
Organizer of the Session: 659-131
How Did you learn about congress:
IP ADDRESS: 41.201.250.205
