To teach robots how to move objects into an organized arrangement, engineers at the Massachusetts Institute of Technology (MIT) have developed a system called SimPLE (Simulation to Pick, Localize, and placE).
Your decision to use one vs. another will be driven by various factors, such as meeting specific performance criteria, adapting to facility space constraints or overall experience and ease of use.
Automated manufacturing systems are typically built around a core part or material transfer system such as a dial indexer, track based linear motion system, or palletized conveyor. These platforms fundamentally impact both the system’s output capabilities, as well as the overall footprin. Your decision to use one vs. another will be driven by various factors, such as meeting specific performance criteria, adapting to facility space constraints or the overall experience and ease of use.
The No. 1 application for robots, be they Cartesian, SCARA, delta or six-axis models, is also the easiest: pick up a part from one location and place it in another.
From the outside, a robot appears to be an independent entity that can do many great things all on its own. But, in truth, it's the internal technology and end-of-arm tooling that enable the robot to effectively perform many types of assembly.
Most manufacturers are keen on automating production, so long as it can be done cost-effectively. This goal applies as well to KEEN Inc., a Portland, OR-based company that makes outdoor and lifestyle footwear.
Among Forrest Gump’s greatest life lessons was the insight that you could never be certain what you would find inside a box of chocolates. Although Gump never actually clarified what that uncertainty is, it’s generally assumed he was referring to the various types of fillings hidden in chocolate candies.