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Title: Design and implementation of embedded multi-sensor outdoor robot localization system using FPGA for accurate navigation
Authors: Hayder A. Hussein, Muataz H. Salih
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2019
Volume: 14
Issue: 15
Language: English
Recently, there has been a significant increase in the interest for robots. However, manually navigating a robot requires a skilled pilot who has highly constant concentration levels for sustained periods. Therefore, strong scientific interest has emerged in terms of developing solutions that allow a robot to navigate autonomously without needing constant human supervision. This is useful for a variety of potential applications ranging from surveillance and reconnaissance purposes, aerial filming, remote visual inspection of industrial sites, to military applications. First, a robot must be able to determine its location. Unlike humans, a robot does not have the sensing capacity and the ability to explore its environments and determine its location. Therefore, components like sensors need to be integrated on the robot. Examples of these sensors include GPS sensor, and accelerometer sensor. The robot then needs to be able to determine its destination and be able to create a route to get there. To do this, the robot must be able to generate paths to the destination and make a decision on which path to take. The FPGA DE0 Nano board offers a portable extensive computational platform that help to solve this current problem. It also has lower design complexity and the ability to be embedded to an outdoor robot localisation system. The path planning approach generates a route to the desired location. The GPS sensor was utilized to determine the positions for the current and desired locations. After information from the sensors was received, the DE0-Nano sent proper signals to the L293D to control robots motors. The DE0 Nano achieved a maximum operating frequency up to 1.3 GHz and total logic elements are 6,032. This means that the robot platform’s frequency requirements were achieved to that level. Thus, high performance was achieved by using FPGA with multi sensors.
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