Podrobná bibliografie
| Název: |
Six-degrees-of-freedom Redundant Task Trajectory Planning for Green Converter Station Robotic Arm Based on Multisensor Detection. |
| Autoři: |
Yang Li, Pengwang Zhang, Jinyun Yu, Keying Zou, Xianguang Jia, Junwei Yang, Jing Bao |
| Zdroj: |
Sensors & Materials; 2025, Vol. 37 Issue 7, Part 3, p3119-3133, 15p |
| Témata: |
OPTIMIZATION algorithms, INDUSTRIAL robots, LATIN hypercube sampling, INTERPOLATION algorithms, ARITHMETIC |
| Abstrakt: |
In recent years, robotic arms have become increasingly common in green converter stations. In this paper, we introduce a time-optimal trajectory planning method based on the arithmetic optimization algorithm (AOA). The method utilizes sensor data as constraints and generates trajectories using 3-5-3 polynomial interpolation. To enhance the performance of the AOA, we propose an improved version, the improved AOA, which incorporates the Latin hypercube sampling and Gaussian variation. Simulation results demonstrate that the proposed algorithm effectively plans trajectories for industrial robotic arms, offering improved efficiency and accuracy in motion planning. [ABSTRACT FROM AUTHOR] |
|
Copyright of Sensors & Materials is the property of MYU, Scientific Publishing Division and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Databáze: |
Complementary Index |
Full Text Finder 
Nájsť tento článok vo Web of Science