EVOLUTION AND FUTURE OF INDUSTRIAL ROBOTS
Industrial Robots can define as automated, reprogrammable, multipurpose industrial assets that are used as an alternative to human labor in order to perform deadly and repetitive tasks without human intervention.
Evolution of Industrial Robots: The first robot in1954 was an automated die-casting mold used to release blistering hot door handles other auto parts into vats of cooling liquid on a production line that moved them along to workers for final finishing and buffing. The first dully electrical-driven robot developed by ASEA 1975 was used in assembly lines. It was also the first microprocessor controller robot.
The first Robo-arm was created by Takeo Kanade in 1981 with motors inserted directly in the joint. It was faster, accurate, and effective than its predecessors. Motorman ERC control system was introduced as it had the power to control up to 12 axes, which was considered a benchmark at that time. By 1994 the power increased to 27 axes.
Cobot is referred to as a collaborative robot that is used by industries today. The first cobot was installed at latex in 2008. In this current era, we have numerous Cobots working with less human intervention as they can be programmed using touchscreen tools. The future is bright as humans and robots continue to work together.
What’s the future of Industrial Robots?
The industrial internet of things is in trend in the robot era. Going further cobots will rise in demand as industries will be focused on creating a safe environment for workers to collaborate with robots with much less risk. The robot industry will grow 175% in the next 10 years. By 2025 the demand for electrical robots will match the automotive industry.
While we continue to establish new technologies like IIoT, robots will be given the ability to implement such technologies so that they start learning things on their own. Currency robots are programmed to pick and place products but in the future they will be able to combine machine learning with machine vision and learn through trial and error, to improve their productivity.
-Just Engineering
