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