International Journal of Nonlinear Analysis and Applications

Intelligent optimization of path control and accuracy enhancement of industrial robots using the DE algorithm

Articles in Press

Document Type : Research Paper

Authors

Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran

Abstract

This paper introduces the optimization of path control and accuracy enhancement of industrial robots using the Differential Evolution (DE) algorithm. DE, known for its simplicity and adaptability, efficiently minimizes path deviation, energy consumption, and accuracy errors, outperforming traditional methods like PID and MPC. Using a two-degree-of-freedom articulated robot model, the DE algorithm demonstrated superior performance in reducing time and energy costs while improving accuracy in complex environments. The results highlight DE’s potential for precision-critical tasks such as assembly and welding, offering a robust and flexible alternative for industrial applications. Future research will focus on extending DE’s capabilities to more complex robotic systems and refining its parameter tuning for enhanced performance in diverse operational settings.

Keywords

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International Journal of Nonlinear Analysis and Applications

Articles in Press, Corrected Proof
Available Online from 31 October 2025
  • Receive Date: 25 September 2024
  • Accept Date: 14 November 2024