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Ford’s Ever-Smarter Robots Speed ​​up the Assembly Line


In 1913, Henry Ford has changed the way cars are made first meeting line, a technology that enabled the integration of new cars quickly and efficiently. One hundred years later, Ford in use now artificial intelligence chase fast these days making lines.

Pa Ford Transmission Plant in Livonia, Michigan, an area where robots that support torque conversion now incorporates AI-enabled machines to learn from previous experiments on how to rotate the pieces to the best possible size. Inside the main safety cage, the wheels of the rotating robot legs hold pieces of round metal, each about the size of a dining plate, from the carrier and attached together.

Ford they use technology from when they are called Symbio Robotics looking at over the past few centuries trying to figure out which methods and methods seem to be working best. A computer that sat outside the barn showcased Symbio’s skills and adjusted arms. Toyota and Nissan they are using the same technology to improve their performance.

At Ford’s plant in Livonia, Michigan, robots assemble converts by rotating parts, with the help of machine learning.

Courtesy of Symbio

The technology allows this segment of the conference to drive 15 percent faster, a major change in the automotive production of which the limited margins rely heavily on efficient production.

“I personally think it will be another future,” says Lon Van Geloven, product manager for the Livonia plant. He also said Ford wanted to see if it could use the technology in other industries. Van Geloven argues that technology can be applied anywhere it is possible for a computer to learn by hearing how things work together. “There’s a lot of work,” he says.

AI is often seen as confusing and revolutionary technology, but the launch of Livonia demonstrates how AI can penetrate corporate processes consistently and unknowingly.

Automotive engines already have many machines, but robots that help assemble, weld, and park cars are powerful, real machines that repeat the same task but cannot understand or respond around.

Adding more activities is difficult. The services of the inaccessible machine include functions such as feeding moving strings through the car dashboard and body. In 2018, Elon Musk blamed the Tesla Model 3 for delaying production a choice that relies heavily on actions alone in design.

Researchers and developers are looking at AI ways to give robots the ability, for example to enable them to do so recognizing and understanding unusual things walking on pickup trucks. Ford’s example demonstrates how existing machines can often improve by introducing simple curiosity and learning skills.


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