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Empowering a robot to ‘see’ allows it to precisely and consistently differentiate, pick, sort, move, weld or assemble various parts no matter their complexity. For instance, a multiple-step manual welding task on an automobile assemblyline might take ten ‘blind’ robots to perform since each part must be mounted in place before every weld.
Capturing manual assembly data Silicon Valley startup Invisible AI helps manufacturers digitally capture data from manual assemblylines to provide valuable insights and drive improvements. You may have 20 or 50 cameras on a line, all communicating with each other, all on the same local network. Watch a demo.
Previous efforts to automate this process have relied largely on automating the assemblyline with one sample per chip moving through the entire data collection process. Conventional materials research requires a researcher to prepare a sample and then go through multiple steps to test each sample using different instruments.
The introduction updates electronics of CMMT units with the latest components that are easier to obtain than older ones and helps to eliminate supply chain woes, as well as improving performance and reliability. These assemblylines incorporate up to 20 handling gantries. CMMT-AS-MP compact AC servo drives are rated up to 6kW.
Share Discretemanufacturing involves creating products by assembling individual, tangible parts. These parts are assembled in a specific sequence to produce the desired result. The production lines in discretemanufacturing produce products that are similar but not identical.
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