Design of dynamic adaptive control framework for exoskeleton robot driven by neuromuscular signal based on deep reinforcement learning.

Ma K

DOI: 10.3389/fncom.2026.1807958
Published: 2026
Container: Frontiers in computational neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fncom.2026.1807958,
  title = {Design of dynamic adaptive control framework for exoskeleton robot driven by neuromuscular signal based on deep reinforcement learning.},
  author = {Ma K},
  year = {2026},
  journal = {Frontiers in computational neuroscience},
  doi = {10.3389/fncom.2026.1807958},
  url = {https://doi.org/10.3389/fncom.2026.1807958}
}

RIS

TY  - JOUR
TI  - Design of dynamic adaptive control framework for exoskeleton robot driven by neuromuscular signal based on deep reinforcement learning.
AU  - Ma K
PY  - 2026
JO  - Frontiers in computational neuroscience
DO  - 10.3389/fncom.2026.1807958
UR  - https://doi.org/10.3389/fncom.2026.1807958
ER  -

APA

K, M. (2026). Design of dynamic adaptive control framework for exoskeleton robot driven by neuromuscular signal based on deep reinforcement learning.. Frontiers in computational neuroscience. https://doi.org/10.3389/fncom.2026.1807958

Source records

pubmed · retrieved 2026-09-24T23:47:28.014Z