Intuitive and versatile bionic legs: a perspective on volitional control

IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Frontiers in Neurorobotics Pub Date : 2024-06-21 DOI:10.3389/fnbot.2024.1410760
Matthias Voß, Anne D. Koelewijn, Philipp Beckerle
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Abstract

Active lower limb prostheses show large potential to offer energetic, balance, and versatility improvements to users when compared to passive and semi-active devices. Still, their control remains a major development challenge, with many different approaches existing. This perspective aims at illustrating a future leg prosthesis control approach to improve the everyday life of prosthesis users, while providing a research road map for getting there. Reviewing research on the needs and challenges faced by prosthesis users, we argue for the development of versatile control architectures for lower limb prosthetic devices that grant the wearer full volitional control at all times. To this end, existing control approaches for active lower limb prostheses are divided based on their consideration of volitional user input. The presented methods are discussed in regard to their suitability for universal everyday control involving user volition. Novel combinations of established methods are proposed. This involves the combination of feed-forward motor control signals with simulated feedback loops in prosthesis control, as well as online optimization techniques to individualize the system parameters. To provide more context, developments related to volitional control design are touched on.
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直观且多功能的仿生腿:意志控制的视角
与被动和半主动假肢相比,主动式下肢假肢显示出巨大的潜力,可为使用者提供能量、平衡和多功能性方面的改善。然而,它们的控制仍然是一个重大的开发挑战,目前有许多不同的方法。本视角旨在说明未来的假肢控制方法,以改善假肢使用者的日常生活,同时提供实现这一目标的研究路线图。通过对假肢使用者的需求和所面临挑战的研究,我们主张为下肢假肢装置开发多功能控制架构,让佩戴者在任何时候都能完全自主控制。为此,我们对现有的主动式下肢假肢控制方法进行了划分,以考虑用户的自愿输入为基础。讨论了所介绍的方法是否适用于涉及用户意志的通用日常控制。此外,还提出了既有方法的新组合。这包括在假肢控制中将前馈电机控制信号与模拟反馈回路相结合,以及采用在线优化技术对系统参数进行个性化设置。为了提供更多的背景信息,还涉及了与意志控制设计相关的发展。
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来源期刊
Frontiers in Neurorobotics
Frontiers in Neurorobotics COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCER-ROBOTICS
CiteScore
5.20
自引率
6.50%
发文量
250
审稿时长
14 weeks
期刊介绍: Frontiers in Neurorobotics publishes rigorously peer-reviewed research in the science and technology of embodied autonomous neural systems. Specialty Chief Editors Alois C. Knoll and Florian Röhrbein at the Technische Universität München are supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics and the public worldwide. Neural systems include brain-inspired algorithms (e.g. connectionist networks), computational models of biological neural networks (e.g. artificial spiking neural nets, large-scale simulations of neural microcircuits) and actual biological systems (e.g. in vivo and in vitro neural nets). The focus of the journal is the embodiment of such neural systems in artificial software and hardware devices, machines, robots or any other form of physical actuation. This also includes prosthetic devices, brain machine interfaces, wearable systems, micro-machines, furniture, home appliances, as well as systems for managing micro and macro infrastructures. Frontiers in Neurorobotics also aims to publish radically new tools and methods to study plasticity and development of autonomous self-learning systems that are capable of acquiring knowledge in an open-ended manner. Models complemented with experimental studies revealing self-organizing principles of embodied neural systems are welcome. Our journal also publishes on the micro and macro engineering and mechatronics of robotic devices driven by neural systems, as well as studies on the impact that such systems will have on our daily life.
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