Automated RAM Installation
Shows a robot picking a RAM module, aligning it above the motherboard slot, and pressing it into place with controlled force.
The sequence highlights server assembly automation where visual servoing and insertion feedback protect delicate connectors while improving repeatability.
Flexiv
Adaptive Robotics
Use case
ram installation
Category
Electronics Assembly And Testing
Key capability
visual servoing, force control
Storyboard
What the video shows
The storyboard shows a robot picking a RAM module, aligning it above the motherboard slot, and pressing it into place with controlled force.
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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 ram installation.
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Step 3
Execute the task with visual servoing 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 RAM Installation 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 sequence highlights server assembly automation where visual servoing and insertion feedback protect delicate connectors while improving repeatability.
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.