Adaptive Deburring on Hand-Shaped Part
Shows a vertical cell where a robot follows the edges of a hand-shaped component with a deburring tool.
The sequence demonstrates adaptive edge finishing on irregular geometry, using compliant contact to remove burrs without overcutting the part.
Flexiv
Adaptive Robotics
Use case
deburring
Category
Surface Finishing And Material Removal
Key capability
force control
Storyboard
What the video shows
The storyboard shows a vertical cell where a robot follows the edges of a hand-shaped component with a deburring tool.
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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 deburring.
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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
Adaptive Deburring on Hand-Shaped Part requires repeatable execution in surface finishing and material removal, where alignment, controlled contact, and process consistency can be difficult to maintain manually.
Value
Operational value
The sequence demonstrates adaptive edge finishing on irregular geometry, using compliant contact to remove burrs without overcutting the part.
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 surface finishing and material removal 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.