10-14-2025, 06:36 PM
We are running / have ran numerous iterations of the RoboDK Calibration through the process as normal for Fanuc R2000iC 210-L.
Base Frame Generation, Tool Frame Generation, and Calibration with 60-120 Generated poses.
We are using a LEICA laser tracker. Process appears to complete normally, and the report generated demonstrates a reduced error with a max usually around .5~.7 mil with an average of .15~.25 mil.
Upon generating the Calibrated DH Parameters and applying them in RoboDK, we are running a Linear Path (Linear Move to Start, 1 Linear Move from Edge to Edge) from the edges of robot reach at a constant EOAT orientation constantly capturing the position of the SMR ball every 75 ms. We find the line of best fit and then find the points relative to that line as errors. For comparison, we then run that same path with use accurate kinematics disabled.
The error plots for the calibrated and uncalibrated models are not fundamentally different.
Additionally, we are wondering what may cause the uncalibrated models to be different as the variance of .4 mil max error versus .7 max error across 2 uncalibrated cells running an identical/nearly identical line seems surprising.
Base Frame Generation, Tool Frame Generation, and Calibration with 60-120 Generated poses.
We are using a LEICA laser tracker. Process appears to complete normally, and the report generated demonstrates a reduced error with a max usually around .5~.7 mil with an average of .15~.25 mil.
Upon generating the Calibrated DH Parameters and applying them in RoboDK, we are running a Linear Path (Linear Move to Start, 1 Linear Move from Edge to Edge) from the edges of robot reach at a constant EOAT orientation constantly capturing the position of the SMR ball every 75 ms. We find the line of best fit and then find the points relative to that line as errors. For comparison, we then run that same path with use accurate kinematics disabled.
The error plots for the calibrated and uncalibrated models are not fundamentally different.
Additionally, we are wondering what may cause the uncalibrated models to be different as the variance of .4 mil max error versus .7 max error across 2 uncalibrated cells running an identical/nearly identical line seems surprising.

