Publication detail

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

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

23

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"
}