The challenge posed to AI for FACTORY IO has resulted in the following proposal:
Here is the challenge translated into English, maintaining the technical focus for the Factory I/O community:
CHALLENGE: Cadence Control and Critical Flow
Scenario:
Center Conveyor: Infeed of parts (Blue, Green, Gray).
Side Conveyors: Sorting destinations for Blue (left) and Green (right). Gray parts must pass through.
Constraint: The robot has a short reach; the maneuvering margin is minimal.
The Challenge:
Infeed Synchronization: The PLC must manage the part emitter so the cadence adapts to the robot’s cycle time. Parts should only be released if the robot is predicted to be available.
Predictive Logic: The robot must not wait. It must calculate its trajectory to intercept the moving part at the exact right time.
Mandatory HMI: Control of part speed and efficiency counters (parts per minute vs. errors).
Zero Downtime: The goal is for the center conveyor to never stop. If it stops, the system is considered inefficient.
Primary KPI: Maximize the number of sorted parts without any part overshooting the robot’s reach and without any emergency stops.
The pieces cannot be touched when the robot is released (it’s not done yet, but we’ll do it in the next video).
Here’s the approach from the conversation, the scene we’re going to modify including its operation, and the scene already modified, except for the parts dispenser:
We started programming the scene to test how the machine responds; this is called the testing and investigating phase of the entire system’s behavior. I’ll be uploading the whole process to my channel. We’ll start here:
Regards.
