Design and assessment of a reconfigurable behavioral assistive robot: a pilot study

IF 2.6 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Frontiers in Neurorobotics Pub Date : 2024-02-14 DOI:10.3389/fnbot.2024.1332721
Enming Shi, Wenzhuo Zhi, Wanxin Chen, Yuhang Han, Bi Zhang, Xingang Zhao
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Abstract

IntroductionFor patients with functional motor disorders of the lower limbs due to brain damage or accidental injury, restoring the ability to stand and walk plays an important role in clinical rehabilitation. Lower limb exoskeleton robots generally require patients to convert themselves to a standing position for use, while being a wearable device with limited movement distance.MethodsThis paper proposes a reconfigurable behavioral assistive robot that integrates the functions of an exoskeleton robot and an assistive standing wheelchair through a novel mechanism. The new mechanism is based on a four-bar linkage, and through simple and stable conformal transformations, the robot can switch between exoskeleton state, sit-to-stand support state, and wheelchair state. This enables the robot to achieve the functions of assisted walking, assisted standing up, supported standing and wheelchair mobility, respectively, thereby meeting the daily activity needs of sit-to-stand transitions and gait training. The configuration transformation module controls seamless switching between different configurations through an industrial computer. Experimental protocols have been developed for wearable testing of robotic prototypes not only for healthy subjects but also for simulated hemiplegic patients.ResultsThe experimental results indicate that the gait tracking effect during robot-assisted walking is satisfactory, and there are no sudden speed changes during the assisted standing up process, providing smooth support to the wearer. Meanwhile, the activation of the main force-generating muscles of the legs and the plantar pressure decreases significantly in healthy subjects and simulated hemiplegic patients wearing the robot for assisted walking and assisted standing-up compared to the situation when the robot is not worn.DiscussionThese experimental findings demonstrate that the reconfigurable behavioral assistive robot prototype of this study is effective, reducing the muscular burden on the wearer during walking and standing up, and provide effective support for the subject's body. The experimental results objectively and comprehensively showcase the effectiveness and potential of the reconfigurable behavioral assistive robot in the realms of behavioral assistance and rehabilitation training.
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可重构行为辅助机器人的设计与评估:试点研究
引言 对于因脑损伤或意外伤害导致下肢功能运动障碍的患者来说,恢复站立和行走能力在临床康复中发挥着重要作用。下肢外骨骼机器人一般需要患者将自己转换为站立姿势才能使用,同时作为一种可穿戴设备,其移动距离有限。方法本文提出了一种可重构的行为辅助机器人,通过一种新型机构将外骨骼机器人和辅助站立轮椅的功能整合在一起。新机构以四杆连杆为基础,通过简单稳定的保形变换,机器人可以在外骨骼状态、坐立支撑状态和轮椅状态之间切换。这样,机器人就能分别实现辅助行走、辅助站立、支撑站立和轮椅移动等功能,从而满足坐立转换和步态训练等日常活动需求。配置转换模块通过工业计算机控制不同配置之间的无缝切换。实验结果表明,机器人辅助行走时的步态跟踪效果令人满意,在辅助站立过程中没有出现速度突变,为佩戴者提供了平稳的支撑。同时,与未佩戴机器人的情况相比,健康受试者和模拟偏瘫患者在佩戴机器人辅助行走和辅助起立时,腿部主要发力肌肉的激活程度和足底压力都明显降低。实验结果客观全面地展示了可重构行为辅助机器人在行为辅助和康复训练领域的有效性和潜力。
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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.
期刊最新文献
A multimodal educational robots driven via dynamic attention. LS-VIT: Vision Transformer for action recognition based on long and short-term temporal difference. Neuro-motor controlled wearable augmentations: current research and emerging trends. Editorial: Assistive and service robots for health and home applications (RH3 - Robot Helpers in Health and Home). A modified A* algorithm combining remote sensing technique to collect representative samples from unmanned surface vehicles.
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