Paper Infomation
Theoretical Modeling and Compensation of Errors in Industrial Robot Accuracy and Repeatability
Full Text(PDF, 19KB)
Author: Zhou Yang
Abstract: Industrial robots are integral to modern manufacturing systems, enabling high precision, high throughput, and flexibility. However, errors in accuracy and repeatability, which arise from a variety of sources such as mechanical wear, calibration issues, and environmental factors, can significantly impact the performance of industrial robots. This paper aims to explore the theoretical modeling of errors in industrial robot systems and propose compensation strategies to enhance their accuracy and repeatability. Key factors contributing to errors, such as kinematic, dynamic, and environmental influences, are discussed in detail. Additionally, the paper explores various compensation techniques, including geometric error compensation, dynamic compensation, and adaptive control approaches. Through the integration of error modeling and compensation methods, industrial robots can achieve improved performance, ensuring higher operational efficiency and product quality. The paper concludes by highlighting the challenges and future research directions for improving the accuracy and repeatability of industrial robots in practical applications.
Keywords: Industrial Robots; Accuracy; Repeatability; Error Modeling; Compensation Strategies; Kinematic Errors; Dynamic Errors; Adaptive Control
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