Packaging robots have been designed to replace human labor, albeit with superhuman strength, agility, and speed. The range of movement, strength, and speed allow these machines to lift entire pallets onto trucks or pick up individual muffins hot out of the oven.
These robots were on display at PackExpo in Las Vegas last month. The entire tradeshow floor was alive with robotic movement. The robots were amazingly agile, surprisingly strong, and unexpectedly quiet.
This is the new manufacturing workforce. These machines are so efficient, they have reduced the importance of cheap labor as a factor in whether a plant is built in China or Ohio. While they reduce the manual workforce, they come with a small army of engineers. For the new engineer they are especially attractive, since running these robots can be done through simulation -- much like playing a video game.
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Here’s the claw end of a robot arm. ABB’s FlexGripper can be adjusted to pick up a wide range of items, large or small. (Source: ABB)
When it was in Chicago last year (Pack Expo rotates between Chicago and Las Vegas), the noticeable aspect of the show was the robotics. Walking the floor, it would be easy to think you're at a robotics show.
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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