3D Seam Inspection. Poorly welded components break, causing products to fail. In the case of automobiles and aeroplanes, this often has disastrous consequences and costs lives. Robotic weld seam inspection and optimization is now the standard in many industries.
Machine vision systems store inspection results in a database along with serial numbers, which makes components easy to trace. They work on multiple seams of different types, shapes and sizes, and operate at high speed. The automotive industry uses automated weld inspection and optimization systems extensively to ensure vehicles are of high quality and safe to drive.
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.
The latest report added to the extensive research report database of Market Research Reports Search Engine (MRRSE) on the industrial logistics robots market states that the market will expand at a healthy CAGR during the forecast period and will be worth US$30 billion by 2020. This report is titled “ Industrial Logistics Robots: Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020”.
Robots are made up of easily available materials. Steel, cast iron and aluminum are commonly used for making the arms and bases of robots. In mobile robots, rubber tires are fixed for smooth and quiet operation. Robots may be electronically operated and also laser or radio controlled. The exposed parts of the robot are enveloped with flexible neoprene sheaths and bellows.