Every day more and more users join the Internet and become familiar with the huge profits which can be made on the foreign exchange market. But trading the FX market is very complex and you will need years of experience to get your first profits. I’m not saying that you could make some money in your first trades, but these profits will be based more on luck than on pure foreign exchange knowledge. A trading robot will give you parts of the knowledge of an experienced trader in an automated software.
Forex trading market is undeniably making the way to automation. Because of the surfacing of the automated foreign exchange robots, the patterns in foreign exchange suddenly changed. With these automated robots, many wonder if it will replace the work of the currency training advisors. It seems they can because of their abilities and capabilities to trade even without the human intervention and involvement of emotions in trading.
For companies to succeed, along with trying to create a fully employed economy, the biggest factor is cost efficiency. More and more companies rely on the cheapest alternative to produce outputs, in hopes of earning profits. Boston Consulting Group reports that it costs roughly $8 an hour to use a robot for spot welding in the auto industry, compared to $25 for a worker.
There was an interesting talk given by Regina Dugan of DARPA on December 14, 2011 for the engineering students and social studies students at MIT titled; ”Just Make It” which of course is a ”take-off” literally on the Nike Brand theme; Just Do It! – in this talk she mentions an aircraft manufacturing company which works without assembly lines and has been able to increase time to build from start to finish by a factor of 2. Each aircraft stays put, the folks working on it move. Okay so, that makes sense, and Rolls Royce and other high-end auto manufacturers use similar techniques, as to many of the hand-crafted high-end specialty cars.
Machine vision systems for weld inspection comprise a sensor mounted on a robotic arm. A laser in the sensor projects a line of light across the surface of a component joint, a technique known as laser triangulation. At the same time, a high-speed camera, also housed in the sensor, captures an image of the line as an elevation profile. Through the relative motion of the component and the sensor, the system builds a 3D image of the welded seam surface.