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Improvement of Robot Accuracy with an Optical Tracking System
Ying Liu1, Yuwen Li1, Zhenghao Zhuang1
1Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 201900, China.
Sensors (Basel, Switzerland)
|November 11, 2020
Summary
This study introduces an optical tracking system and a least-square algorithm to enhance robot positioning accuracy. The method achieves high precision for industrial automation tasks like riveting and assembly.
Area of Science:
- Robotics
- Industrial Automation
- Optical Metrology
Background:
- Robot positioning accuracy is critical for industrial automation.
- Existing methods may not fully account for kinematic parameter errors.
- High accuracy is essential for tasks like precise assembly and riveting.
Purpose of the Study:
- To propose a method for improving robot positioning accuracy using an optical tracking system.
- To integrate a least-square numerical algorithm for kinematic parameter identification.
- To consider various error sources in the system kinematics model.
Main Methods:
- Development of a system kinematics model incorporating tool and base positioning errors.
- Analysis of linear dependence among Denavit-Hartenberg parameters.
- Validation through numerical simulation on a 6-axis UR robot.
- Implementation on an actual robot with an optical tracking system.
Main Results:
- Experimental results demonstrate improved robot accuracy.
- Achieved accuracy of ±0.35 mm for position and ±0.07° for orientation.
- The method is automatable for enhanced robot performance.
Conclusions:
- The proposed optical tracking system effectively improves robot positioning accuracy.
- The method is suitable for industrial applications demanding high precision.
- Automation of the procedure simplifies accuracy enhancement for complex tasks.

