Abstract

With the rapid development of automation systems and artificial intelligence, industrial robots have played significant roles in automated production processes. Due to the improvement of computer chips, more and more vision algorithms are able to run in industrial robot systems. Increasingly, robotic systems based on visual recognition are replacing those based on traditional sensors. However, there is much work to be done in real situations. This research focuses on the application of machine vision in the field of industrial robot systems. It first gives the overall summary of industrial robot systems and machine vision as well as their applications. Then it gives an example of a sorting system and expounds its strategy. Finally, it turns out that machine vision can be widely used in industrial robot systems because of its excellent performance, although there are still existing problems to be solved in it. Those problems may be solved by further development of algorithms.

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