RoboDK Case Studies ABB Robot Calibration
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ABB Robot Calibration

ABB Robot Calibration - RoboDK Industrial IoT Case Study
Robots - Robot Application & Programming Software
Equipment & Machinery
Field Services
Autonomous Robots

The company manufactures marina products through robot milling but observed important errors in the surface quality of their machined parts. It uses an ABB IRB 6640-130/3.2 robot, which has 130 kg payload, 3.2 m reach, 0.050 mm repeatability, and was not factory calibrated. On top of that, the robot is placed on a linear track, which introduces yet another source of errors.

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A Auckland-based (New Zealand) company.
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The robot calibration solution was delivered using RoboDK. The software tool for robot simulation and off-line programming (OLP). This simulation and OLP platform is highly versatile and can deploy the calibration methods developed in our lab. It currently supports more than 200 robots from 10 different manufacturers. The robot calibration can be performed in 4 steps: 1. Reference frame calibration (6 measurements) 2. Tool calibration (7 measurements) 3. Robot calibration (50-80 measurements) 4. Validation (optional, as many measurements as desired) The measurement acquisition is fully automated by RoboDK and the calibration can be performed in less than an hour using the C-Track or a FARO laser tracker. The C-Track is a photogrammetry-based optical CMM developed by Creaform. It is a bit less accurate than a laser tracker (volumetric accuracy is 0.065 mm) and has a smaller measurement volume, but is way more compact and less than half the price of a laser tracker. Furthermore, it can measure the pose of the robot’s end-effector (not just the position) and (if properly used) is not influenced by vibrations or air currents.

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Accuracy, Error Logs, Machine Performance
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[Efficiency Improvement - Quality Assurance]
The ABB robot’s mean position error was improved from 3.443 mm to 0.765 mm, as validated in 315 arbitrary robot configurations. The robot position accuracy was also validated by milling a series of slots equally spaced and machined at different tool orientations. After calibration, machined distance errors between slots were reduced by half or better.
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