Abstract
Despite their limitations, robots should have the ability to gather information from their surroundings such as location, color, light, and images. This data must then be analyzed automatically, and based on that analysis, the robot should be able to determine an appropriate reaction to its environment. Once a decision has been made, the robot must be able to execute it through the use of actuators and motion systems. Robots are comprised of sensors that collect real-time environmental data, an electronic brain that processes and decides, and movement controls that carry out those decisions. Images must be displayed as an analog signal during the image processing process. Video data, originally in the form of analog voltage, must be represented in the form of binary codes. This article deals with the development of image processing algorithm for industrial robots based on neural network and fuzzy logic. Keywords: image processing, fuzzy logic, pixel, robot, sensor.
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