A computational framework for Kármán gaiting in robotic fish: spatio-temporal perception and CPG-based reinforcement learning
- DOI
- 10.1088/1748-3190/ae8e13
- Published
- 2026-08-05
- Container
- Bioinspiration & Biomimetics
- Publisher
- IOP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1088/1748-3190/ae8e13,
title = {A computational framework for Kármán gaiting in robotic fish: spatio-temporal perception and CPG-based reinforcement learning},
author = {Xinqi Wang and Ming Wang and Xinyang Liu and Sida Pan and Feige Wang and Junzhi Yu},
year = {2026},
journal = {Bioinspiration \& Biomimetics},
doi = {10.1088/1748-3190/ae8e13},
url = {https://doi.org/10.1088/1748-3190/ae8e13}
}RIS
TY - JOUR TI - A computational framework for Kármán gaiting in robotic fish: spatio-temporal perception and CPG-based reinforcement learning AU - Xinqi Wang AU - Ming Wang AU - Xinyang Liu AU - Sida Pan AU - Feige Wang AU - Junzhi Yu PY - 2026 JO - Bioinspiration & Biomimetics DO - 10.1088/1748-3190/ae8e13 UR - https://doi.org/10.1088/1748-3190/ae8e13 ER -
APA
Wang, X., Wang, M., Liu, X., Pan, S., Wang, F., & Yu, J. (2026). A computational framework for Kármán gaiting in robotic fish: spatio-temporal perception and CPG-based reinforcement learning. Bioinspiration & Biomimetics. https://doi.org/10.1088/1748-3190/ae8e13
Source records
- crossref · retrieved 2026-09-25T15:44:00.292Z