As AI and ML technologies continue to advance, the integration of these technologies into teach pendants is likely to become increasingly common, further improving the efficiency and effectiveness of robots. However, the need for standardization remains a key challenge facing the industry, and it will be important for industry organizations to work together to develop standards that promote compatibility and adoption of automation technologies.
The Robot Teach Pendant Market worldwide is now dominated by the material handling application, and it is expected to continue to maintain this position during the forecast period. The desire for automating processes in many end user sectors, including the automotive, electronics, and other industries, has a significant impact on this application.
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