Grinding, Lapping, Polishing, and Buffing Machine Tool Setters, Operators, and Tenders, Metal and Plastic

Observe machine operations to detect any problems, making necessary adjustments to correct problems.

AI: Fully automatable - AI and control systems can monitor operations, detect anomalies, and perform many corrective adjustments autonomously in modern manufacturing setups.

Move machine controls to index workpieces, and to adjust machines for pre-selected operational settings.

AI: Fully automatable - Indexing workpieces and setting machines to preselected operational parameters is routinely handled by CNC/robotic control systems and is fully automatable.

Study blueprints, work orders, or machining instructions to determine product specifications, tool requirements, and operational sequences.

AI: Fully automatable - AI, CAD/CAM, and software tools can read blueprints and work orders and determine specifications, tooling, and operational sequences automatically.

Compute machine indexings and settings for specified dimensions and base reference points.

AI: Fully automatable - Computing indexing and machine settings is a deterministic, calculation-heavy task well suited to software and AI tools (CAM, digital twins) that can fully automate these computations.

Activate machine start-up switches to grind, lap, hone, debar, shear, or cut workpieces, according to specifications.

AI: Fully automatable - Machine start-up and execution according to specifications are controlled by PLCs/CNCs and can be fully automated under AI/system control.

Brush or spray lubricating compounds on workpieces, or turn valve handles and direct flow of coolant against tools and workpieces.

AI: Fully automatable - Applying lubricants or controlling coolant flow is a repetitive, low-complexity physical task that robotic end-effectors and automated coolant systems can perform reliably in modern shops.

Maintain stocks of machine parts and machining tools.

AI: Fully automatable - Inventory tracking, forecasting, and automated reordering for machine parts and tooling are readily automatable with existing inventory management and AI forecasting systems.

Inspect or measure finished workpieces to determine conformance to specifications, using measuring instruments, such as gauges or micrometers.

AI: Partial - Automated metrology (CMMs/vision) can perform many inspections, but manual gauge/micrometer inspections and tactile judgments remain partially dependent on humans.

Measure workpieces and lay out work, using precision measuring devices.

AI: Partial - Precision measurement and layout can be supported and often automated by metrology and CAM tools, yet physical scribing/fixturing and some judgment calls still require human involvement.

Select machine tooling to be used, using knowledge of machine and production requirements.

AI: Partial - CAM and rule-based systems can suggest tooling based on requirements, but complex trade-offs and unexpected constraints often require human judgement, so automation is partial.

Mount and position tools in machine chucks, spindles, or other tool holding devices, using hand tools.

AI: Partial - Automatic tool changers and robotic mounting exist for many machines, but many tasks of manually mounting and precisely positioning tools with hand tools remain only partially automatable.

Set and adjust machine controls according to product specifications, using knowledge of machine operation.

AI: Partial - AI and CAM/PLC systems can calculate and suggest machine control settings and perform automatic adjustments in many cases, but full autonomous adjustment across diverse legacy equipment and edge cases still often requires human oversight.

Set up, operate, or tend grinding and related tools that remove excess material or burrs from surfaces, sharpen edges or corners, or buff, hone, or polish metal or plastic workpieces.

AI: Partial - Setting up and tending grinding equipment involves varied physical manipulation, judgment, and unstructured situations that current AI/robotics can automate in structured cells but not fully across typical shop environments as of 2025.

Lift and position workpieces, manually or with hoists, and secure them in hoppers or on machine tables, faceplates, or chucks, using clamps.

AI: Partial - Robotic material handling and hoists can lift and position many workpieces, but varied part geometries, fixturing and on-the-fly securement frequently still need human dexterity and judgment.

Repair or replace machine parts, using hand tools, or notify engineering personnel when corrective action is required.

AI: Partial - AI can diagnose faults and guide technicians, and some routine part replacements can be automated, but complex repairs and tooling changes typically still require skilled human intervention.

Thread and hand-feed materials through machine cutters or abraders.

AI: Partial - Feeding and threading materials through cutters can be automated in highly structured lines, but the manual, variable nature of hand-feeding operations means AI/robots only partially automate this across typical workplaces.

Adjust air cylinders and setting stops to set traverse lengths and feed arm strokes.

AI: Partial - Adjusting air cylinders and stops can be automated where machines have electronic actuation and sensors, but many setups still require manual mechanical adjustment and human tuning.

Slide spacers between buffs on spindles to set spacing.

AI: Partial - Sliding spacers and fine spindle spacing adjustments are simple in principle and automatable in some machines, but in many shops they remain manual due to variability and the small-scale dexterity required.