Automated Server Port Testing
Shows a robot inserting and removing test plugs across dense server ports while status screens and connector positions are monitored.
The application demonstrates force-guided port testing for data-center hardware where repeated connector cycles must be accurate and non-damaging.
Flexiv
Adaptive Robotics
Use case
server testing
Category
Electronics Assembly And Testing
Key capability
force guided insertion, data center hardware
Storyboard
What the video shows
The storyboard shows a robot inserting and removing test plugs across dense server ports while status screens and connector positions are monitored.
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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 server testing.
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Step 3
Execute the task with force guided insertion 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 Server Port Testing requires repeatable execution in electronics assembly and testing, where alignment, controlled contact, and process consistency can be difficult to maintain manually.
Value
Operational value
The application demonstrates force-guided port testing for data-center hardware where repeated connector cycles must be accurate and non-damaging.
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 electronics assembly and testing 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.