Home
Software
AR/Apps
VR/Meta
VR SOP
AI
CGI
Partners
Industries
About
Blog
Contact
VR Teach Pendant Training: Learning Robot Programming Without Occupying a Production Cell
Relevant case studies
Author: Spark Team
VR Teach Pendant Training: Learning Robot Programming Without Occupying a Production Cell
The teach pendant remains one of the most important interfaces between technicians and industrial robots. It can also be one of the hardest pieces of equipment on which to provide large-scale practical training.
Learning robot operation typically requires access to both a controller and a robot, yet production assets are installed to manufacture products, not function as permanent classrooms.
Bespoke Virtual Reality provides another option: recreate the robot, cell and control workflow virtually so that employees can rehearse procedures before using the real system.
The Cost of Learning on Live Equipment
Practical robotics skills cannot be developed from slides alone.
Technicians may need to understand:
Robot operating modes
Jogging
Axis and coordinate systems
Tool and work-object concepts
Program selection
Speed controls
Position teaching
Alarm acknowledgement
Program execution
Safe recovery
Providing this experience on real production assets can require scheduled machine access and instructor supervision.
Offline robotics tools already demonstrate the value of moving part of this work into simulation. FANUC describes ROBOGUIDE as allowing users to create, programme and simulate robots in 3D without requiring costly prototype setups, while ABB's RobotStudio is designed for offline robot programming and simulation.
Taking Simulation into Immersive Training
VR can place the learner inside a recreation of the robot cell rather than limiting their experience to a conventional monitor.
The trainee might pick up a virtual teach pendant and complete a structured exercise.
Example: Teaching a Robot Position
Select the appropriate robot operating mode.
Confirm that the cell conditions permit manual operation.
Select the correct coordinate system.
Enable the required controls.
Jog the robot towards the target position.
Reduce speed when approaching tooling or fixtures.
Confirm orientation and clearance.
Record the position.
Test the resulting movement under the defined procedure.
The system could monitor each decision rather than simply allowing free exploration.
Teaching the Consequences of Common Errors
The real value of virtual training is not simply reproducing successful operation.
It can also recreate what happens when procedures are not followed.
A trainee might:
Select the wrong coordinate frame
Move the wrong robot axis
Approach a fixture too quickly
Attempt to run an incorrect program
Fail to check tooling clearance
Use an incorrect recovery sequence
The virtual environment can stop the exercise, explain the error and allow the learner to try again.
No physical robot has been moved incorrectly and no real component has been damaged.
Using VR for Assessment
The same environment can operate in different modes.
Guided Mode
Visual prompts explain each step for new learners.
Practice Mode
Prompts are reduced and the trainee completes the procedure independently.
Assessment Mode
The learner receives an objective and must perform the complete SOP without assistance.
Scores could consider accuracy, sequence, unnecessary movements, collisions, hints, safety errors and completion time.
Supporting Multiple Robot Platforms
Large manufacturers may operate several generations or brands of industrial robots.
A bespoke immersive training platform can be structured so that common concepts are taught consistently while platform-specific controls and procedures are represented where required.
This could be particularly useful when preparing employees before they transfer between production lines or sites.
AR at the Real Robot
Once the trainee reaches the physical installation, AR can reinforce appropriate procedures without attempting to replace the manufacturer's approved control systems.
An AR application might provide:
Pre-operation checks
Robot or tooling identification
Program-selection guidance
Inspection locations
SOP references
Fault-code supporting information
Escalation instructions
Siemens identifies maintenance and repair overlays as an application for immersive technologies, while industrial AR more broadly is being used to place contextual guidance around real equipment.
Capturing Experienced Engineers' Knowledge
Teach-pendant competence often includes knowledge that experienced engineers have acquired over years: what to check first, what normal movement should look like and what warning signs suggest a deeper problem.
A bespoke training project creates an opportunity to capture some of this organisational knowledge and turn it into repeatable scenarios.
Instead of every trainee receiving slightly different informal guidance, key procedures can be presented consistently.
Spark's Bespoke Approach
Spark does not sell a generic teach-pendant simulator.
The objective would be to understand the customer's robot estate, learning requirements and approved procedures, then create an immersive experience around those specific needs.
Depending on the project, this could include digitally recreated cells, customised UI, interactive virtual controls, assessments, analytics and integration with wider learning systems.
Conclusion
As factories deploy more robotics, the demand for employees who understand industrial robot operation will continue to increase.
Using valuable production equipment as the first place employees encounter every procedure is not always the most efficient approach.
VR can create a safe, repeatable environment for building familiarity and procedural confidence before supervised physical training. AR can subsequently deliver contextual information around the real machine.
If your organisation wants to explore bespoke VR teach-pendant or robot-operation training, contact Spark Emerging Technologies.
© 2026 All Rights Reserved | Company Reg No. 05327622 | Spark Emerging Technologies Limited
