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CORRECTION article

Front. Neurorobot., 18 December 2025

Volume 19 - 2025 | https://doi.org/10.3389/fnbot.2025.1754834

Correction: Path planning of industrial robots based on the adaptive field cooperative sampling algorithm

This article is a correction to:

  1. Path planning of industrial robots based on the adaptive field cooperative sampling algorithm

    1. Read original article
Yongbo ZhuangYongbo Zhuang1Sha Luo Sha Luo1*Qingdang Li Qingdang Li1*Dianming ChuDianming Chu1Wenjuan BaiWenjuan Bai1Xintao LiuXintao Liu1Mingyuan FanMingyuan Fan1Lv WeiLv Wei2
  • 1College of Electromechanical Engineering, Qingdao University of Science and Technology, Shandong Province, China
  • 2Shandong Gaomi Technician Institute, Shandong Province, China

A Correction on
Path planning of industrial robots based on the adaptive field cooperative sampling algorithm

by Zhuang, Y., Luo, S., Li, Q., Chu, D., Bai, W., Liu, X., Fan, M., and Wei, L. (2025). Front. Neurorobot. 19:1574044. doi: 10.3389/fnbot.2025.1574044

In the published article, the equal contribution symbol and phrase “†These authors share first authorship” were erroneously included for Yongbo Zhuang and Sha Luo in the author list. This symbol and phrase have now been removed, with Yongbo Zhuang remaining the sole first author.

The original version of this article has been updated.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: industrial robot, path planning, RRT, APF, AFCs

Citation: Zhuang Y, Luo S, Li Q, Chu D, Bai W, Liu X, Fan M and Wei L (2025) Correction: Path planning of industrial robots based on the adaptive field cooperative sampling algorithm. Front. Neurorobot. 19:1754834. doi: 10.3389/fnbot.2025.1754834

Received: 26 November 2025; Revised: 27 November 2025;
Accepted: 28 November 2025; Published: 18 December 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Zhuang, Luo, Li, Chu, Bai, Liu, Fan and Wei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sha Luo, bHVvc2hhMzIwQDEyNi5jb20=; Qingdang Li, bHFkQHF1c3QuZWR1LmNu

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.