So is manufacturing growing in the United States? President Obama hopes so, especially in the high tech sector. But evidence of high tech manufacturing being a growing industry is still yet to be seen. At this point in time, it’s still cheaper to employ a human to do a task as opposed to investing in a robot. But what happens when it’s cheaper to buy that robot, or ship that job to a plant in China? The future looks bleak once manufacturing robotics become reasonable investments for smaller companies like Standard Motor Products.
A few leading vendors profiled in the report lead the market. ABB provides a comprehensive range of robots to help manufacturers improve productivity, product quality and worker safety. Regardless of application ABB has a robot to meet needs of the customer in any industry. ABB has installed 250,000 robots worldwide.
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Invention of Robots has brought about revolutionary changes in the field of industrial manufacturing. In the earlier part of the century humans were engaged in jobs, which were very dangerous and involved serious health hazards, but in 1956, Unimation a company founded by George Devol and Joseph F. Engelberger invented the first robot. These were initially used in industries where it was required that dangers involved in working should be reduced like in spot welding, die casting and forging and then gradually they were employed in areas requiring greater strength and accuracy than human beings.
The final process is to flip one of the doubled stick so that it faces the opposite direction. This ensures that made cigarettes are in proper place for packing. The machines used these days are faster paced than just doing it yourself. It all seems quite simple from back in the day when they had processed cigarettes by hand.
Such bots have been used extensively in data entry and database management services. However, more complex ‘smart’ bots have also been developed that can do actually data processing to simulate ‘intelligence’. These programs can take decisions and perform a variety of tasks and follow a set of rules and algorithms. What is significant that they programs can actually ‘learn’ as they process more and more data; in effect that they get better the more they work. Over time, they can recognise what inputs produce the outcomes nearest to the perfect ideal and then tailor their inputs accordingly.