Robot programming is accomplished in several ways. Consistent with current industrial practice we divide the programming methods into two basic types: Lead through methods Textual robot languages The lead through methods require the programmer to move the manipulator through the desired motion path and that the path be committed to memory by the robot controller.
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Our description of the typical machine vision system in the preceding section identified three functions: sensing and digitizing, image processing and analysis, and application. This and the following sections in the chapter will elaborate on these functions. The present section is concerned with the sensing and digitizing aspects of machine vision. Image sensing requires some
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Machine vision is concerned with the sensing of vision data and its interpretation by a computer. The typical vision system consists of the camera and digitizing hardware, a digital computer, and hardware and software necessary to interface them. This interface hardware and software is often referred to as a preprocessor. The operation of the vision
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The major uses of sensors in industrial robotics and other automated manufacturing systems can be divided into four basic categories : Safety monitoring Interlocks in workcell control Part inspection for quality control Determining positions and related information about objects in the robot cell One of the important applications of sensor technology in automated manufacturing operations
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Proximity sensors are devices that indicate when one object is done another object. How close the object must be in order to activate the sensor is dependent on the particular. The distances can be anywhere between several millimeters and several feet. Some of these sensors can also be used to measure the distance between the
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