Using ATI’s QC-11 Tool Changer and RCT-151 Radially-Compliant Deburring Tool along with a Renishaw probe, they produced a demonstration highlighting their expertise in aiding potential customers to maximize productivity of the robots already installed in their facilities
As a machine learning technique, TinyML combines reduced and optimized machine learning applications that require hardware, system, and software components. These operate at the edge of the cloud in real time while converting data with minimal energy and cost.
The actual workflow that FrameSense is designed to automate is part of many manufacturing operations. A component comes out of a machine - here a press - and runs on a conveyor belt to a container.
One of the key advantages of AMRs lies in their adaptability. Manufacturing processes often require frequent changes, reconfigurations, or repositioning of equipment and materials. AMRs can quickly and easily adapt to these changing requirements.
The job shop manages small to large production run orders. Each cobot picks up parts from a bench, loads and unloads them from a CNC machine tool and places them in a box.