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JUŘÍČEK, M. PARÁK, R. KŮDELA, J.
Original Title
Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review
Type
journal article in Web of Science
Language
English
Original 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.
Keywords
evolutionary computation; evolutionary algorithms; path planning; industrial robots; robot manipulators
Authors
JUŘÍČEK, M.; PARÁK, R.; KŮDELA, J.
Released
4. 12. 2023
Publisher
MDPI
ISBN
2079-3197
Periodical
Computation
Year of study
11
Number
12
State
Swiss Confederation
Pages from
1
Pages to
23
Pages count
URL
https://www.mdpi.com/2079-3197/11/12/245
Full text in the Digital Library
http://hdl.handle.net/11012/245183
BibTex
@article{BUT187199, author="Martin {Juříček} and Roman {Parák} and Jakub {Kůdela}", title="Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review", journal="Computation", year="2023", volume="11", number="12", pages="23", doi="10.3390/computation11120245", issn="2079-3197", url="https://www.mdpi.com/2079-3197/11/12/245" }