View in EDS

Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review.

Saved in:
Bibliographic Details
Title: Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review.
Authors: Juříček, Martin, Parák, Roman, Kůdela, Jakub
Source: Computation; Dec2023, Vol. 11 Issue 12, p245, 23p
Subject Terms: EVOLUTIONARY computation, PLANNING techniques, EVIDENCE gaps, ROBOTICS, EVOLUTIONARY algorithms, INDUSTRIAL robots, MATHEMATICAL optimization
Abstract: The significance of robot manipulators in engineering applications and scientific research has increased substantially in recent years. The utilization of robot manipulators to save labor and increase production accuracy is becoming a common practice in industry. Evolutionary computation (EC) techniques are optimization methods that have found their use in diverse engineering fields. This state-of-the-art review focuses on recent developments and progress in their applications for industrial robotics, especially for path planning problems that need to satisfy various constraints that are implied by both the geometry of the robot and its surroundings. We discuss the most-used EC method and the modifications that suit this particular purpose, as well as the different simulation environments that are used for their development. Lastly, we outline the possible research gaps and the expected directions future research in this area will entail. [ABSTRACT FROM AUTHOR]
Copyright of Computation is the property of MDPI 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.)
Database: Biomedical Index
Description
Abstract:The significance of robot manipulators in engineering applications and scientific research has increased substantially in recent years. The utilization of robot manipulators to save labor and increase production accuracy is becoming a common practice in industry. Evolutionary computation (EC) techniques are optimization methods that have found their use in diverse engineering fields. This state-of-the-art review focuses on recent developments and progress in their applications for industrial robotics, especially for path planning problems that need to satisfy various constraints that are implied by both the geometry of the robot and its surroundings. We discuss the most-used EC method and the modifications that suit this particular purpose, as well as the different simulation environments that are used for their development. Lastly, we outline the possible research gaps and the expected directions future research in this area will entail. [ABSTRACT FROM AUTHOR]
ISSN:20793197
DOI:10.3390/computation11120245