Nice article share apresure, it is nice to see advancement in the field of automation & control through the production of more flexible and efficient machines. It is great to see ethernet becoming source of convergence b/w enterprise and production.
This change takes a huge burden off the control, engineer -- who used to spend countless hours doing -- or paying for -- original programming. This is happening at a time when the baby boom control engineers are starting to retire. There was plenty of concern that this generation was taking its knowledge out the door. Suppliers now say that knowledge is getting captured in the software.
Ann, we're also see devices that come smart. So there is less of the traditional integration required. As one supplier put it: Now, you put the devices on the line and they come awake and say, "Here I am."
We have machine design and building companies building new machines that include connectivivty, snd don't admit that the rest of the machine is new as well. So how much is real invention and how much is working for the camera? Which then does not achieve that much,
Outside North America, the situation is quite different and the worldwide market share of EtherNet/IP is roughly the same as Profinet at about 30% each. What continues to surprise me is the emphasis on connectivity as a major area for increasing performance and productivity. The ability to communicate more information, more easily is the key point in the next round of "smarter" manufacturing.
Some humanoid walking robots are also good at running, balancing, and coordinated movements in group settings. Several of our sports robots have won regional or worldwide acclaim in the RoboCup soccer World Cup, or FIRST Robotics competitions. Others include the world's first hockey-playing robot and a trash-talking Scrabble player.
A recent example of a major CAE revamp is MSC Apex, released last month by MSC Software Corp. In a discussion with Design News, MSC executives noted that its next-generation platform is designed to substantially reduce CAE modeling and process time, “in some cases from weeks down to hours.”
The Thames Deckway would run for eight miles close to the river’s edge, rising and falling slightly with the tidal cycle. It will generate its own energy from a series of devices that will line the pathway and use a combination of sources to make the path self-sustaining.
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