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顺应力学和运动控制在跳跃中的作用——从人类到机器人。

Role of compliant mechanics and motor control in hopping - from human to robot.

机构信息

Lauflabor Locomotion Laboratory, Institute of Sport Science and Centre for Cognitive Science, Technical University of Darmstadt, Darmstadt, 64289, Germany.

出版信息

Sci Rep. 2024 Mar 21;14(1):6820. doi: 10.1038/s41598-024-57149-0.

Abstract

Compliant leg function found during bouncy gaits in humans and animals can be considered a role model for designing and controlling bioinspired robots and assistive devices. The human musculoskeletal design and control differ from distal to proximal joints in the leg. The specific mechanical properties of different leg parts could simplify motor control, e.g., by taking advantage of passive body dynamics. This control embodiment is complemented by neural reflex circuitries shaping human motor control. This study investigates the contribution of specific passive and active properties at different leg joint levels in human hopping at different hopping frequencies. We analyze the kinematics and kinetics of human leg joints to design and control a bioinspired hopping robot. In addition, this robot is used as a test rig to validate the identified concepts from human hopping. We found that the more distal the joint, the higher the possibility of benefit from passive compliant leg structures. A passive elastic element nicely describes the ankle joint function. In contrast, a more significant contribution to energy management using an active element (e.g., by feedback control) is predicted for the knee and hip joints. The ankle and knee joints are the key contributors to adjusting hopping frequency. Humans can speed up hopping by increasing ankle stiffness and tuning corresponding knee control parameters. We found that the force-modulated compliance (FMC) as an abstract reflex-based control beside a fixed spring can predict human knee torque-angle patterns at different frequencies. These developed bioinspired models for ankle and knee joints were applied to design and control the EPA-hopper-II robot. The experimental results support our biomechanical findings while indicating potential robot improvements. Based on the proposed model and the robot's experimental results, passive compliant elements (e.g. tendons) have a larger capacity to contribute to the distal joint function compared to proximal joints. With the use of more compliant elements in the distal joint, a larger contribution to managing energy changes is observed in the upper joints.

摘要

在人类和动物的弹跃步态中发现的顺应性腿部功能,可以被视为设计和控制仿生机器人和辅助设备的典范。人类肌肉骨骼系统的设计和控制在腿部从远端到近端关节都有所不同。不同腿部部件的特定机械特性可以简化运动控制,例如利用被动的身体动力学。这种控制体现方式还通过塑造人类运动控制的神经反射回路得到补充。本研究调查了在不同跳跃频率下,人体跳跃时不同腿部关节水平的特定被动和主动特性的贡献。我们分析了人体腿部关节的运动学和动力学,以设计和控制仿生跳跃机器人。此外,这个机器人还被用作测试平台,以验证从人类跳跃中识别出的概念。我们发现,关节越远,从被动顺应性腿部结构中获益的可能性就越高。一个被动弹性元件很好地描述了踝关节的功能。相比之下,对于膝关节和髋关节,使用主动元件(例如通过反馈控制)来更有效地管理能量的贡献更大。踝关节和膝关节是调整跳跃频率的关键贡献者。人类可以通过增加踝关节的刚度并调整相应的膝关节控制参数来加快跳跃速度。我们发现,力调制顺应性(FMC)作为一种基于抽象反射的控制,除了固定弹簧外,还可以预测不同频率下的人体膝关节转矩-角度模式。这些开发的踝关节和膝关节仿生模型被应用于设计和控制 EPA-hopper-II 机器人。实验结果支持了我们的生物力学发现,同时表明了潜在的机器人改进。基于提出的模型和机器人的实验结果,与近端关节相比,被动顺应性元件(例如肌腱)在远端关节功能中具有更大的贡献能力。在远端关节中使用更多的顺应性元件,可以观察到在上部关节中对管理能量变化的贡献更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4673/10957903/4bc263203f7c/41598_2024_57149_Fig1_HTML.jpg

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