A modified artificial potential field approach for real-time robot path planning via adaptive gradient neural network

Zisheng Chen, Ting Li, Ying Liufu

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DOI: 10.1016/j.neunet.2026.109605
Published: 2027-01
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109605,
  title = {A modified artificial potential field approach for real-time robot path planning via adaptive gradient neural network},
  author = {Zisheng Chen and Ting Li and Ying Liufu},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109605},
  url = {https://doi.org/10.1016/j.neunet.2026.109605}
}

RIS

TY  - JOUR
TI  - A modified artificial potential field approach for real-time robot path planning via adaptive gradient neural network
AU  - Zisheng Chen
AU  - Ting Li
AU  - Ying Liufu
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109605
UR  - https://doi.org/10.1016/j.neunet.2026.109605
ER  -

APA

Chen, Z., Li, T., & Liufu, Y. (2027). A modified artificial potential field approach for real-time robot path planning via adaptive gradient neural network. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109605

Source records

crossref · retrieved 2026-09-26T01:02:51.737Z