增强和解码具有挠性的肌肉致动器的性能

IF 6.8 Q1 AUTOMATION & CONTROL SYSTEMS Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) Pub Date : 2024-07-22 DOI:10.1002/aisy.202470029

Naomi Lynch, Nicolas Castro, Tara Sheehan, Laura Rosado, Brandon Rios, Martin Culpepper, Ritu Raman

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摘要

带挠性的肌肉致动器生物混合机器人需要坚固、可重现和可预测的肌肉致动器。Ritu Raman 及其合作者设计了称为 "挠性 "的顺应机构，以前所未有的准确性和精确度提高了生物致动器的性能并解码了其收缩动力学（见文章编号 2300834）。作者的平台可实现用户定义的肌肉收缩动力学和疲劳行为控制，使肌肉作为自适应机器致动器的实际应用成为可能。[封面设计：Ella Marushchenko]。

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Enhancing and Decoding the Performance of Muscle Actuators with Flexures

Muscle Actuators with Flexures

Biohybrid robots require robust, reproducible, and predictable muscle actuators. Ritu Raman and co-workers have designed compliant mechanisms, termed “flexures”, that enhance the performance and decode the contractile dynamics of biological actuators with unprecedented accuracy and precision (see article number 2300834). The authors’ platform enables user-defined control of muscle contractile dynamics and fatigue behavior, enabling real-world applications of muscle as an actuator for adaptive machines. [Cover art by Ella Marushchenko.]

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