The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 28-633
Full Name: Ouarda Hachour
Position: Doctor (Researcher)
Age: ON
Sex: Female
Address: BP N°216 Ain Benian Algiers Algeria 16202
Country: ALGERIA
Tel: 213771878713
Tel prefix:
Fax:
E-mail address: kala_ouarda@yahoo.fr
Other E-mails:
Title of the Paper: A Digital Implementation for Robot Path planning using Genetic Algorithms
Authors as they appear in the Paper: Ouarda Hachour
Email addresses of all the authors: kala_ouarda@yahoo.fr
Number of paper pages: 19
Abstract: This paper proposes Genetic Algorithms (GAs) for path Autonomous Mobile Robot (AMR). This approach has an advantage of adaptivity such that the GA works perfectly even if an environment is unknown. First, we present a software implementation GA path planning in a terrain. The results gotten of the GA on randomly generated terrains are very satisfactory and promising . Second, we discuss extensions of the GA for solving both paths planning and trajectory planning using a Single Static Random Access Memory (SRAM) for Field Programmable Gate Array (FPGA). This new design methodology based upon a VHDL description of the path planning has the two (02) advantages : to present a real autonomous task for mobile robots, and being generic and flexible and can be changed at the user demand. The results gotten are promising.
Keywords: Genetic Algorithm (GA), Autonomous Mobile Robot (AMR), FPGA implementation, VHDL, Synthesis, and Galileo
EXTENSION of the file: .doc
Special (Invited) Session: A Genetic_FPGA Algorithm Path planning Of an Autonomous Mobile Robot
Organizer of the Session: 593-202
How Did you learn about congress:
IP ADDRESS: 81.52.166.98
