Neuro-fuzzy algorithm implemented in Altera's FPGA for mobile robot's obstacle avoidance mission

This paper presents the designed obstacle avoidance program for mobile robot that incorporates a neuro-fuzzy algorithm using Altera¿ Field Programmable Gate Array (FPGA) development DE2 board. The neuro-fuzzy-based-obstacle avoidance program is simulated and implemented on the hardware system using...

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Hauptverfasser: Mahyuddin, M.N., Chan Zhi Wei, Arshad, M.R.
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Chan Zhi Wei
Arshad, M.R.
description This paper presents the designed obstacle avoidance program for mobile robot that incorporates a neuro-fuzzy algorithm using Altera¿ Field Programmable Gate Array (FPGA) development DE2 board. The neuro-fuzzy-based-obstacle avoidance program is simulated and implemented on the hardware system using Altera Quartus ® II design software, System-on-programmable-chip (SOPC) Builder, Nios ® II Integrated Design Environment (IDE) software, and FPGA development and education board (DE2). Nios ® II IDE software is used to simulate and process the weight training. A mobile robot serves as the test platform of the program. An ultrasonic sensor and 3 servo motors are used as the test platform's sensing element and actuator, respectively with 2 servo motors used to move the robot and single servo motor used to adjust the sensing direction of the ultrasonic sensor. Altera¿ FPGA development board proves to be a successful embedded system platform for the neuro-fuzzy algorithm to be implemented and tested. Remote testing is done on mobile robot for obstacle avoidance missions via an established radio frequency (RF) communication using DIGI¿ XBee RF module.
doi_str_mv 10.1109/TENCON.2009.5396012
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The neuro-fuzzy-based-obstacle avoidance program is simulated and implemented on the hardware system using Altera Quartus ® II design software, System-on-programmable-chip (SOPC) Builder, Nios ® II Integrated Design Environment (IDE) software, and FPGA development and education board (DE2). Nios ® II IDE software is used to simulate and process the weight training. A mobile robot serves as the test platform of the program. An ultrasonic sensor and 3 servo motors are used as the test platform's sensing element and actuator, respectively with 2 servo motors used to move the robot and single servo motor used to adjust the sensing direction of the ultrasonic sensor. Altera¿ FPGA development board proves to be a successful embedded system platform for the neuro-fuzzy algorithm to be implemented and tested. Remote testing is done on mobile robot for obstacle avoidance missions via an established radio frequency (RF) communication using DIGI¿ XBee RF module.</abstract><pub>IEEE</pub><doi>10.1109/TENCON.2009.5396012</doi><tpages>6</tpages></addata></record>
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Algorithm design and analysis
DE II Board
Field programmable gate arrays
FPGA
Hardware
Mobile robot
Mobile robots
Neuro-fuzzy
Radio frequency
Servomechanisms
Servomotors
Software design
Software systems
Testing
title Neuro-fuzzy algorithm implemented in Altera's FPGA for mobile robot's obstacle avoidance mission
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