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JUŘÍČEK, M. PARÁK, R. KŮDELA, J.
Originální název
Evolutionary Computation Techniques for Path Planning Problems in Industrial Robotics: A State-of-the-Art Review
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
evolutionary computation; evolutionary algorithms; path planning; industrial robots; robot manipulators
Autoři
JUŘÍČEK, M.; PARÁK, R.; KŮDELA, J.
Vydáno
4. 12. 2023
Nakladatel
MDPI
ISSN
2079-3197
Periodikum
Computation
Ročník
11
Číslo
12
Stát
Švýcarská konfederace
Strany od
1
Strany do
23
Strany počet
URL
https://www.mdpi.com/2079-3197/11/12/245
Plný text v Digitální knihovně
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" }