Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review
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) techni...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Computation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-3197/11/12/245 |
| _version_ | 1797381500056895488 |
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| author | Martin Juříček Roman Parák Jakub Kůdela |
| author_facet | Martin Juříček Roman Parák Jakub Kůdela |
| author_sort | Martin Juříček |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T20:52:27Z |
| format | Article |
| id | doaj.art-1ba85f9b52bd41b7bf8b9c0a9e9bb37d |
| institution | Directory Open Access Journal |
| issn | 2079-3197 |
| language | English |
| last_indexed | 2024-03-08T20:52:27Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computation |
| spelling | doaj.art-1ba85f9b52bd41b7bf8b9c0a9e9bb37d2023-12-22T14:01:17ZengMDPI AGComputation2079-31972023-12-01111224510.3390/computation11120245Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art ReviewMartin Juříček0Roman Parák1Jakub Kůdela2Institute of Automation and Computer Science, Brno University of Technology, 602 00 Brno, Czech RepublicInstitute of Automation and Computer Science, Brno University of Technology, 602 00 Brno, Czech RepublicInstitute of Automation and Computer Science, Brno University of Technology, 602 00 Brno, Czech RepublicThe 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.https://www.mdpi.com/2079-3197/11/12/245evolutionary computationevolutionary algorithmspath planningindustrial robotsrobot manipulators |
| spellingShingle | Martin Juříček Roman Parák Jakub Kůdela Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review Computation evolutionary computation evolutionary algorithms path planning industrial robots robot manipulators |
| title | Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review |
| title_full | Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review |
| title_fullStr | Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review |
| title_full_unstemmed | Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review |
| title_short | Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review |
| title_sort | evolutionary computation techniques for path planning problems in industrial robotics a state of the art review |
| topic | evolutionary computation evolutionary algorithms path planning industrial robots robot manipulators |
| url | https://www.mdpi.com/2079-3197/11/12/245 |
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