Car Window Primer Application
Shows the robot teaching and applying primer around curved car-window glass, including close-ups of the dispensing tool and path planning interface.
The workflow demonstrates how adaptive motion and controlled contact can automate automotive glazing preparation on variable curved surfaces.
Flexiv
Adaptive Robotics
Use case
primer application
Category
Automotive And Mobility
Key capability
adaptive automation
Storyboard
What the video shows
The storyboard shows the robot teaching and applying primer around curved car-window glass, including close-ups of the dispensing tool and path planning interface.
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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 primer application.
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Step 3
Execute the task with controlled motion 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
Car Window Primer Application requires repeatable execution in automotive and mobility, where alignment, controlled contact, and process consistency can be difficult to maintain manually.
Value
Operational value
The workflow demonstrates how adaptive motion and controlled contact can automate automotive glazing preparation on variable curved surfaces.
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.