By Nohtal Partansky, founder and CEO, and Patrick DeGrosse Jr, director of engineering, Sorting Robotics
Most robotics deployments don’t run into trouble because a motor was undersized or because someone wrote bad control logic. In our experience, the problems usually show up after the system leaves validation and starts operating in an environment that behaves nothing like the one it was tested in.
In a lab, conditions are stable and closely observed. The air is relatively clean, operators are attentive and specifically trained, and throughput is controlled. If something drifts out of calibration, it is usually caught early because the entire purpose of the environment is observation and testing. Production environments are built around output, not observation.
Once a system moves into a 24/7 facility, particularly in a regulated setting, the priorities shift. The machine is expected to keep up with volume targets, staffing rotates, and environmental variables that were minor during testing become persistent realities. That shift changes how small technical issues evolve into more serious problems over time. [Read more…] about Viewpoint: Why ‘always-on’ environments break most robotics deployments – and how to fix them
