Simulation Study of Industrial Robots Based on Offline Programming

Junyu Liu

2024

Abstract

With the wide application of industrial robots in the production field, the manufacturing industry requires higher productivity and quality, and path planning and simulation technology becomes a critical factor in improving machine learning. This study focuses on industrial robot path planning and simulation and the application of Matlab and Simulink in its technology, aiming to improve productivity, reduce cost, and promote sustainable development. In order to further improve the accuracy of path planning and the efficiency of robot motion control, machine learning techniques and numerical stability are optimized. For industrial robot path planning and simulation, Matlab and Simulink simulation techniques are used to study the kinematic characteristics of the robot and path planning algorithms in depth. By optimizing the offline programming and path planning algorithms, the efficient operation of the robot in complex environments is achieved, and the error rate in the production process is reduced. In addition, obstacle avoidance technology also provides the robot with critical environment sensing capability when performing tasks, further improving the production line's safety and productivity. Overall, this study provides relevant technical support and theoretical guidance for applying industrial robots, which helps improve production efficiency, reduce costs, and realize sustainable development.

Paper Citation

in Harvard Style

Liu J. (2024). Simulation Study of Industrial Robots Based on Offline Programming. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 537-541. DOI: 10.5220/0012837100004547

in Bibtex Style

@conference{icdse24,
author={Junyu Liu},
title={Simulation Study of Industrial Robots Based on Offline Programming},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={537-541},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012837100004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Simulation Study of Industrial Robots Based on Offline Programming
SN - 978-989-758-690-3
AU - Liu J.
PY - 2024
SP - 537
EP - 541
DO - 10.5220/0012837100004547
PB - SciTePress