End-to-end robot intelligent obstacle avoidance method based on deep reinforcement learning with spatiotemporal transformer architecture

Yuwen Zhou, Weizhong Zhang

Open source

DOI: 10.3389/fnbot.2025.1646336
Published: 2025-10-08
Container: Frontiers in Neurorobotics
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fnbot.2025.1646336,
  title = {End-to-end robot intelligent obstacle avoidance method based on deep reinforcement learning with spatiotemporal transformer architecture},
  author = {Yuwen Zhou and Weizhong Zhang},
  year = {2025},
  journal = {Frontiers in Neurorobotics},
  doi = {10.3389/fnbot.2025.1646336},
  url = {https://doi.org/10.3389/fnbot.2025.1646336}
}

RIS

TY  - JOUR
TI  - End-to-end robot intelligent obstacle avoidance method based on deep reinforcement learning with spatiotemporal transformer architecture
AU  - Yuwen Zhou
AU  - Weizhong Zhang
PY  - 2025
JO  - Frontiers in Neurorobotics
DO  - 10.3389/fnbot.2025.1646336
UR  - https://doi.org/10.3389/fnbot.2025.1646336
ER  -

APA

Zhou, Y., & Zhang, W. (2025). End-to-end robot intelligent obstacle avoidance method based on deep reinforcement learning with spatiotemporal transformer architecture. Frontiers in Neurorobotics. https://doi.org/10.3389/fnbot.2025.1646336

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crossref · retrieved 2026-09-27T04:43:25.759Z