Machine Feeders and Offbearers

Record production and operational data, such as amount of materials processed.

AI: Fully automatable - Recording production and operational data is straightforward to automate via sensors, PLCs, and software logging, and is widely implemented today.

Weigh or measure materials or products to ensure conformance to specifications.

AI: Fully automatable - Weighing and measuring to spec is readily automated with scales and sensors integrated into production lines and quality systems.

Identify and mark materials, products, and samples, following instructions.

AI: Fully automatable - Identification and marking (labeling, stamping, barcode/QR printing) are commonly automated with vision-guided systems and labeling machinery in many workflows.

Open and close gates of belt and pneumatic conveyors on machines that are fed directly from preceding machines.

AI: Fully automatable - Actuated gates and PLC/robotic controls already reliably open/close conveyor gates in integrated production lines and are straightforward to automate.

Add chemicals, solutions, or ingredients to machines or equipment as required by the manufacturing process.

AI: Fully automatable - Dosing pumps, automated dispensers and process control systems routinely add chemicals and ingredients under sensor/PLC control in modern plants.

Inspect materials and products for defects, and to ensure conformance to specifications.

AI: Partial - Computer vision and sensors automate many inspection tasks, but nuanced, tactile, or highly variable defect detection still requires human oversight in many cases as of 2025.

Push dual control buttons and move controls to start, stop, or adjust machinery and equipment.

AI: Partial - Actuating physical dual-control buttons is partially automatable with cobots or retrofitted electronic controls, but safety rules and variability limit universal full automation by 2025.

Clean and maintain machinery, equipment, and work areas to ensure proper functioning and safe working conditions.

AI: Partial - Basic cleaning can be automated (e.g., floor robots) but comprehensive machinery maintenance and complex cleaning tasks still largely rely on human workers in 2025.

Load materials and products into machines and equipment, or onto conveyors, using hand tools and moving devices.

AI: Partial - Loading materials is widely automated in structured, repetitive contexts with robots and conveyors, but variability in parts, tooling, and environments limits full automation broadly.

Remove materials and products from machines and equipment, and place them in boxes, trucks or conveyors, using hand tools and moving devices.

AI: Partial - Automated pick‑and‑place systems and conveyors can remove and place parts in many contexts, yet high variability, delicate items, or complex fixturing often need human intervention.

Transfer materials and products to and from machinery and equipment, using industrial trucks or hand trucks.

AI: Partial - Autonomous mobile robots and automated forklifts can handle routine transfers in structured environments, but varied/unstructured loads and ad‑hoc handling still require humans.

Shovel or scoop materials into containers, machines, or equipment for processing, storage, or transport.

AI: Partial - Bulk feeders, hoppers, and conveyors automate most scooping/feeding tasks, but true free‑form shoveling in unstructured contexts is not fully automatable yet.

Fasten, package, or stack materials and products, using hand tools and fastening equipment.

AI: Partial - Robotic arms and automated packaging machines can fasten and stack many repeatable items, but diverse products and ad‑hoc hand‑tool operations remain challenging to fully automate.