Robot Sales Basics
中文
04

End-of-arm tooling, vision and force control

Many projects fail not because the robot was wrong, but because the tooling and sensing were. Whether the cell “works” for the customer depends on reliable gripping, accurate positioning and controlled contact force. Treat workpiece → gripping → localisation as one chain.

  • Recognise 4 common EOAT types
  • Explain 2D vs. 3D vision
  • List the must-ask subsystem questions

End-of-arm tooling (EOAT)

The EOAT, also called the end effector, mounts on the flange and acts as the process “hand”.

2-finger gripper Gripper Pneumatic / electric Vacuum cups Suction Cartons · sheet · glass Torch / spindle Process tool Mind the cable dress Master plate Tool plate Tool changer Quick change Auto tool swap
Reading the diagram: use grippers for regular parts that can be clamped; vacuum cups for flat, non-porous surfaces. Process tools (torches, spindles, dispensers) also bring cables, consumables and interference to manage. If one robot handles several parts, consider a tool changer.
EOAT typeGood forNot for / risks
Pneumatic gripperHigh force, low cost, fast cyclesNeeds site compressed air; force and position hard to fine-tune
Electric gripperProgrammable force and position; many part sizes and fragile partsHigher price; usually less force than a pneumatic gripper of the same size
Vacuum cupCartons, sheet metal, glass, smooth plasticsPorous, oily, soft or thin surfaces leak; check film wrap and deformation
Magnetic gripperFerrous steel sheetUseless on non-ferrous materials; watch residual magnetism and double-sheet picks
Soft / adaptive gripperIrregular, delicate food and produceLow payload, weak at precise positioning

▶Watch

Vacuum gripper for palletisingABB Robotics · Open on YouTube ↗Watch for: Note how zoned suction picks several cartons at once, then ask yourself: what if the cartons are film-wrapped or deformed?

Worked example: how much force do cups and grippers need?

The two most common EOAT calculations are both simple in principle.

Vacuum cup holding force comes from the pressure difference:

Theoretical force F (N) = vacuum level ΔP (Pa) × effective cup area A (m²)

A 50 mm cup has an area of about 0.00196 m². At −60 kPa it gives a theoretical force of about 118 N, equal to the weight of about 12 kg. The load it can actually handle is lower, because you divide by a safety factor: at least 2 for a vertical lift, and 4 or more for horizontal moves, high speeds or side loads on the cup. So this cup suits loads of roughly 3–6 kg. If the carton surface is porous, film-wrapped or uneven, the vacuum level drops and capacity falls further.

Vacuum ΔP m · g Vacuum cup: F = ΔP × A Grip force m · g Gripper: friction holds the part
Reading the diagram: a vacuum cup relies on pressure difference, a gripper on friction. Both need a safety factor and must allow for acceleration and shocks in motion.

Gripper force relies on friction. For a two-finger gripper the required grip force is roughly:

Required grip force ≈ mass × gravity × safety factor ÷ (friction coefficient × number of fingers)

To hold a 2 kg steel part with a steel-on-steel friction coefficient of 0.2, two fingers and a safety factor of 3, you need about 2 × 9.8 × 3 ÷ (0.2 × 2) ≈ 147 N. With custom fingers shaped to the part, which cradle it instead of relying on friction, the required force drops sharply. That is why engineers so often ask, “Can we see the part drawing?”

Machine vision and force control

2D vision

Two-dimensional

Planar locating, code reading, presence checks, dimensional checks. Parts need to lie roughly in one plane.

3D vision

Three-dimensional

Structured light, time-of-flight or stereo; sees height and orientation, for uneven surfaces and bin picking of random parts.

Force control

Force/torque sensing

A six-axis force/torque sensor measures contact force, for precise insertion, surface-following grinding and polishing, and constant-force assembly.

Vision succeeds or fails on lighting, calibration (aligning camera and real-world coordinates), occlusion and cycle time; real site lighting and sample parts matter more than demo videos. Separate two uses of vision: guidance (telling the robot where to pick) and inspection (judging quality). Force control has an operating window; it cannot make up for inconsistent incoming parts.

▶Watch: vision and force control

3D vision bin pickingFANUC America · Open on YouTube ↗Watch for: How a 3D sensor finds and picks randomly placed parts in a bin.
Force-controlled assemblyRobotiq · Open on YouTube ↗Watch for: A six-axis force sensor lets the robot “feel” its way through an insertion: the force-control window in action.

Subsystem question table

If a quote lists only the robot unit price and leaves out the special gripper, force-control flange or 3D camera, the customer will see the solution as incomplete when it comes to delivery. At a minimum, ask the questions below and pass the unknowns to application engineering.

SubsystemMust askCommon mistake
Gripper / vacuumMaterial, weight, size, surface; are marks allowed? Are parts presented randomly or in fixed positions?Sizing on weight only, ignoring CoG, surface and cycle time
Torch / spindleProcess parameters, consumables, cables and dress pack, interferenceIgnoring cable life and collisions
Force controlAssembly tolerances, contact-force range, speedTreating it as a universal fix
2D / 3D visionGuidance or inspection? Cycle time? Site lighting?Underestimating site lighting and calibration work
Safety sensingHuman–robot distance, required safety level (PL / SIL)Mixing up collaborative and fenced operation

A three-step questioning method

  1. Profile the workpiece
    1. Material, weight, size, surface roughness; are clamp or suction marks allowed?
    2. Is it presented in a fixed pose, or random in a bin (bin picking)?
  2. Choose the gripping method
    1. Rigid parts → gripper; flat surfaces → vacuum; porous or oily → test with samples
    2. Is the cycle tight? Do several products need a quick changer?
  3. Decide on vision / force control
    1. Uncertain position → vision guidance; quality decisions → vision inspection
    2. Precise insertion, surface-following polishing → force control; confirm tolerances and contact-force range

Key points

  • Wrong EOAT and even the best robot fails; never quote the bare arm alone.
  • Vision depends on lighting and calibration; force control has a window and can't fix inconsistent parts.
  • Whether people can work close by depends on safety ratings and the risk assessment; put the sensing solution in scope.

Exercises

  • For a live opportunity, draw four boxes: workpiece → gripping → localisation → force/vision, and mark the unknowns.
  • Write 5 questions you must confirm with the customer.