Steering Column Lever Testing
Shows a robot actuating steering-column levers through repeated switch and stalk motions while test data is captured on-screen.
The application targets automotive interior QA where repeatable force, travel, and cycle measurements are needed without manual operators.
Flexiv
Adaptive Robotics
Use case
lever testing
Category
Automotive And Mobility
Key capability
quality inspection, data capture
Storyboard
What the video shows
The storyboard shows a robot actuating steering-column levers through repeated switch and stalk motions while test data is captured on-screen.
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Step 1
Prepare the workcell, fixture, part, or target surface shown in the storyboard frames.
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Step 2
Locate and align the robot or tool for lever testing.
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Step 3
Execute the task with quality inspection and monitored robot motion.
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Step 4
Confirm the placement, contact path, inspection result, or finished surface before repeating the cycle.
Challenge
Why this task is difficult
Steering Column Lever Testing requires repeatable execution in automotive and mobility, where alignment, controlled contact, and process consistency can be difficult to maintain manually.
Value
Operational value
The application targets automotive interior QA where repeatable force, travel, and cycle measurements are needed without manual operators.
Deployment layer
How Robita AI helps
Robita AI turns this kind of Flexiv demonstration into a deployment plan: we assess the manual workflow, define the tooling and fixture assumptions, validate the robot capability, and map the pilot path from first test to production rollout. For automotive and mobility applications, that means connecting the visible robot motion to practical questions like cycle time, safety, operator handoff, data capture, and integration with the existing workstation.
Complexity reduction
How Flexiv force control reduces complexity
Even when this video is not primarily a force-control demo, Flexiv's force-sensitive platform matters because many real deployments eventually involve contact, tolerance stack-up, or operator-safe interaction. Robita evaluates where force feedback can simplify tooling, reduce fixture rigidity, and make the workflow more tolerant of normal production variation.