Natural sit-to-stand control for biomimetic musculoskeletal robots with synergy-based deep reinforcement learning and bio-inspired reward shaping.
- DOI
- 10.1016/j.cmpb.2026.109548
- Published
- 2026 Oct
- Container
- Computer methods and programs in biomedicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2026.109548,
title = {Natural sit-to-stand control for biomimetic musculoskeletal robots with synergy-based deep reinforcement learning and bio-inspired reward shaping.},
author = {Chen Y and Zhan L and Wang Y and Wang X and Chen W and Liu R},
year = {2026},
journal = {Computer methods and programs in biomedicine},
doi = {10.1016/j.cmpb.2026.109548},
url = {https://doi.org/10.1016/j.cmpb.2026.109548}
}RIS
TY - JOUR TI - Natural sit-to-stand control for biomimetic musculoskeletal robots with synergy-based deep reinforcement learning and bio-inspired reward shaping. AU - Chen Y AU - Zhan L AU - Wang Y AU - Wang X AU - Chen W AU - Liu R PY - 2026 JO - Computer methods and programs in biomedicine DO - 10.1016/j.cmpb.2026.109548 UR - https://doi.org/10.1016/j.cmpb.2026.109548 ER -
APA
Y, C., L, Z., Y, W., X, W., W, C., & R, L. (2026). Natural sit-to-stand control for biomimetic musculoskeletal robots with synergy-based deep reinforcement learning and bio-inspired reward shaping.. Computer methods and programs in biomedicine. https://doi.org/10.1016/j.cmpb.2026.109548
Source records
- pubmed · retrieved 2026-09-26T22:32:29.086Z