Oxford Industrial Automation
Robot simulation and offline programming

Robot simulation and offline programming before production disruption.

Use a digital cell model to test reach, access, collisions, layout, tool orientation and indicative cycle time before equipment is built or a live production cell is changed.

What the solution must deliver

Simulation exposes geometry and timing risk earlier.

It is especially valuable where reach is tight, paths are complex, several machines share a robot, production access is limited or the process needs many programmed points.

01Reach and access study

Check the complete tool and component across required poses.

02Collision review

Identify clashes with fixtures, machines, guarding and adjacent robot motion.

03Indicative cycle model

Compare motion, process time, waits and handshakes before build.

04Offline path development

Prepare complex trajectories while reducing time on the production cell.

Application engineering

Use accurate models and state assumptions clearly.

A visually convincing simulation can still be misleading if the CAD, acceleration limits, process times, signal delays or recovery allowances are incomplete.

  • Use current robot, tooling, fixture, machine and guarding geometry.
  • Include hoses, cables, dress packs and product envelope where they affect clearance.
  • Apply realistic payload, speed, acceleration and process constraints.
  • Separate ideal robot motion from machine time, sensing, communication and handling waits.
  • Model tool approach, withdrawal, maintenance positions and foreseeable recovery routes.
  • Validate transferred paths, frames, payload data and safety conditions on the real cell.
Appropriate uses

Simulation is a decision tool, not a substitute for physical validation.

Digital studies are most valuable when they answer a specific question: can the robot reach, can the tool clear the machine, which layout has better access, what cycle margin exists, or how much live-cell programming can be prepared in advance?

  • Robot and positioner reach study
  • CNC, press or injection-moulding machine access
  • Multi-robot interference and shared-zone review
  • Pallet pattern and layer-handling sequence
  • Welding, dispensing or finishing path development
  • New-product and format-change assessment
Feasibility evidence

What information is required for a useful simulation?

The quality of the model depends on geometry, process sequence and timing data. Missing items should be identified as assumptions rather than hidden.

  • Robot and controller type or the candidate platform range.
  • CAD for tooling, products, fixtures, machines and surrounding equipment.
  • Required process points, orientations, tolerances and access directions.
  • Machine cycle times, signal sequence and process dwell times.
  • Expected payload, centre of gravity, tool data and cable constraints.
  • Acceptance target for reach, cycle, collision clearance or path quality.
Practical answers

Frequently asked questions

These answers support initial planning. Final performance, safety and scope are confirmed against the actual product, process, environment and acceptance criteria.

Does simulation guarantee the final cycle time?

No. It provides an evidence-based estimate whose accuracy depends on the model and input data. Real equipment, communication, material behaviour and production recovery must still be validated.

Can offline programming eliminate production downtime?

It can reduce time spent creating paths on the live cell, but calibration, touch-up, safety checks, process proving and production acceptance still require controlled on-site work.

Can simulation compare two robot sizes?

Yes. Candidate robots can be compared for reach, singularities, tool orientation, clearance, cycle and layout before a platform is selected.

Is simulation useful for existing cells?

Yes. It can assess new products, tooling or layout changes, provided the model reflects the installed cell and relevant calibration data.

Application review

Discuss the production task with an automation engineer.

Send product details, target output, available space and a photo or short video of the current process. We will identify the next technical step.

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