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"Process-to-part" robotic machining using low-cost, off-the-shelf industrial robots is of interest for feature machining applications on large components where mounting on conventional machine tools is costly and presents a health and safety risk.
The attempt to use industrial robots for technological and interaction tasks, i.e., robotic machining and robotic assembling, implies on the one hand the knowledge of the interaction force, on the other hand the reduction of physical sensors.
Recent research has considered robotic machining as an alternative to traditional CNC machining.
Robotic machining of relatively small features on large components potentially offers an opportunity to reduce capital expenditure in various industries.
This paper documents the findings of experiments done to assess the capability of a photogrammetric measurement process for use in a metrology assisted robotic machining application.
This paper proposes and tests a photogrammetry-based metrology assistance algorithm to compensate for robotic machining inaccuracy, as measured in the part, and investigates the associated measurement challenges.
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