Microwave Fan Blade Installation
Shows an appliance fan blade being picked, aligned with a motor shaft, and press-fitted into position.
The sequence demonstrates force-controlled placement for small rotating parts where coaxial alignment and controlled seating prevent assembly defects.
Flexiv
Adaptive Robotics
Use case
fan blade installation
Category
Electronics Assembly And Testing
Key capability
force control
Storyboard
What the video shows
The storyboard shows an appliance fan blade being picked, aligned with a motor shaft, and press-fitted into position.
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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 fan blade installation.
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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
Microwave Fan Blade 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 demonstrates force-controlled placement for small rotating parts where coaxial alignment and controlled seating prevent assembly defects.
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.