The article will show how a 'local for local' production model - the strategy of manufacturing goods in proximity to their intended customers to promote regional self-sufficiency - can become a reality thanks to digital manufacturing.
Because dispense applications are so important in the manufacturing industry, companies are now looking for ways to improve the dispense accuracy and quality by investing in the latest in dispensing technology by way of semi-automated robot dispensing technologies.
For the grinding machine producer Strausak, the robot manufacturer Stäubli and the encoder supplier HEIDENHAIN, the insertion of cylindrical tools into tool holders with a robot arm was a real challenge-and therefore a task made to measure.
Improving the effectiveness of small and medium manufacturers could help stimulate the economy and drive job creation. Adding robotic employees to the manufacturing mix might just make manufacturers in the United States more competitive with their counterparts in Asia.
MIT Technology Review: Fanuc’s robot uses a technique known as deep reinforcement learning to train itself, over time, how to learn a new task. It tries picking up objects while capturing video footage of the process. Each time it succeeds or fails, it remembers how the object looked, knowledge that is used to refine a deep learning model, or a large neural network, that controls its action. Deep learning has proved to be a powerful approach in pattern recognition over the past few years.
“After eight hours or so it gets to 90 percent accuracy or above, which is almost the same as if an expert were to program it,” explains Shohei Hido, chief research officer at Preferred Networks, a Tokyo-based company specializing in machine learning. “It works overnight; the next morning it is tuned.”... ( full story )
What do ants and Industry 4.0 have in common? What challenges faced the engineers when it came to developing these delicate technology platforms? Take a look behind the scenes and dive into the world of the Bionic Learning Network... ( cont'd )
FAULHABER has added another extremely compact Motion Controller without housing to its product range. The new Motion Controller is ideal for integration in equipment manufacturing and medical technology applications. With 36 V and 3 A (peak current 9 A), it covers the power range up to approx. 100 W and is suitable for DC-motors with encoder, brushless drives or linear motors.