Bioinspired Reinforcement Learning Control for a Biomimetic Artificial Muscle Pair
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43085-5_39
Reference19 articles.
1. Tondu, B.: Modelling of the McKibben artificial muscle: a review. J. Intell. Mater. Syst. Struct. 23 225–253 (2012). https://doi.org/10.1177/1045389X11435435
2. Caldwell, D., Medrano-Cerda, G., Goodwin, M.: Control of pneumatic muscle actuators. Control Syst. 15, 40–48 (1995). https://doi.org/10.1109/37.341863
3. Chou, C., Hannaford, B.: Measurement and modeling of McKibben pneumatic artificial muscles. Robot. Autom. IEEE Trans. 12, 90–102 (1996). https://doi.org/10.1109/70.481753
4. Garbuliński, J., Balasankula, S., Wereley, N.: Characterization and analysis of extensile fluidic artificial muscles. Actuators 10, 26 (2021). https://doi.org/10.3390/act10020026
5. Schulte, H.: The characteristics of the McKibben artificial muscle (1961)
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