3+2 Vs. 5-axis: What's the Difference?

Adding two axes to the conventional three axes does technically create a machine with five axes, but this 3+2 mechanism does not exactly equal a 5-Axis machine.

The Impact of Robotics in Fluid Dispense Applications in 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.

What Do Robotics Mean for the Cutting Tools Industry

Friend or foe? Helper or fiend? Here's what robotics really mean for the cutting tools industry and what are the pitfalls to watch out for.

Positioning Accuracy on the Gripper of a Robot Arm

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.

Robots in Manufacturing Applications

Standard robot models are now mass-produced, making them more available to meet the ever-increasing demand. These robots are more straightforward, and more conducive to plug and play installation.

Robots: A New Kind of Manufacturing Workforce

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.

This Factory Robot Learns a New Job Overnight

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 )

The making of: BionicANTs

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 )

Four Points You Need to Consider when Thinking About Automating or Robotizing Your Operations

If your products have regular and stable characteristics, hard automation makes sense. If however each product is different, flexible automation or robotics should be favored.

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