Automated Valve Testing
Shows a compact vertical cell where the robot repeatedly actuates a valve or test fixture through the same motion cycle.
The application demonstrates automated endurance and QA testing where force-sensitive movement improves consistency over manual repetition.
Flexiv
Adaptive Robotics
Use case
valve testing
Category
Industrial Assembly And Processing
Key capability
force control
Storyboard
What the video shows
The storyboard shows a compact vertical cell where the robot repeatedly actuates a valve or test fixture through the same motion cycle.
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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 valve testing.
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Step 3
Execute the task with force control 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
Automated Valve Testing requires repeatable execution in industrial assembly and processing, where alignment, controlled contact, and process consistency can be difficult to maintain manually.
Value
Operational value
The application demonstrates automated endurance and QA testing where force-sensitive movement improves consistency over manual repetition.
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 industrial assembly and processing 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
Flexiv force control lets the robot adapt during contact instead of relying only on exact position commands. That reduces the need for heavy custom mechanics, perfectly rigid fixtures, and long exception programming because the robot can feel insertion, pressure, and surface contact while it works.