Robotics & Machine Learning Daily News2024,Issue(MAY.28) :128-128.

Predictive Control of Musculotendon Loads Across Fast and Slowtwitch Muscles in a Simulated System with Parallel Actuation

Robotics & Machine Learning Daily News2024,Issue(MAY.28) :128-128.

Predictive Control of Musculotendon Loads Across Fast and Slowtwitch Muscles in a Simulated System with Parallel Actuation

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: "Research in lower limb wearable robotic control have largely focused on reducin g the metabolic cost of walking or compensating for a portion of the biological joint torque e.g., by applying support proportional to estimated biological join t torques. "However, due to different musculotendon unit (MTU) contractile speed properties , less attention has been given to the development of wearable robotic controlle rs that can steer MTU dynamics directly. Therefore, closed-loop control of MTU d ynamics needs to be robust across fiber phenotypes, i.e. ranging from slow type I to fast type IIx in humans. The ability to closed-loop control the in-vivo dyn amics of MTUs, could lead to a new class of wearable robots that can provide pre cise support to targeted MTUs, for preventing onset of injury or to provide prec ision rehabilitation to selected damaged tissues.

Key words

Bioengineering/Biotechnology/Emerging Technologies/Machine Learning/Robotics/Robots

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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