论文标题
新型的超级机器人肢体基于可变的刚度僵硬执行器的偏瘫患者援助
Novel Supernumerary Robotic Limb based on Variable Stiffness Actuators for Hemiplegic Patients Assistance
论文作者
论文摘要
上肢电动机控制和功能的丧失是中风后患者的一种不懈的症状。这将对完成他们的日常生活活动施加困难。引入了超级机器人四肢(SRL)作为解决方案,以通过引入独立的新肢体来恢复损失的自由度(DOF)。 SRL中的致动系统可以归类为刚性和软执行器。通过内在的安全性,成本和能源效率,软执行器在其刚性方面已证明具有优势。但是,它们的刚度低,这危害了他们的准确性。可变刚度执行器(VSA)是新开发的技术,已被证明可确保准确性和安全性。在本文中,我们基于可变的刚度执行器介绍了新型的超级机器人肢体。根据我们的知识,提议的概念验证SRL是第一个利用可变刚度执行器的人。开发的SRL将帮助中风后患者完成双重任务,例如用叉子和刀进食。说明了系统的建模,设计和实现。评估并通过预定义轨迹对其准确性进行了评估和验证。通过利用动量观察者进行碰撞检测来验证安全性,并通过软组织损伤试验评估了几种冲突后反应策略。通过标准的用户满意度问卷对援助过程进行定性验证。
Loss of upper extremity motor control and function is an unremitting symptom in post-stroke patients. This would impose hardships on accomplishing their daily life activities. Supernumerary robotic limbs (SRLs) were introduced as a solution to regain the lost Degrees of Freedom (DoFs) by introducing an independent new limb. The actuation systems in SRL can be categorized into rigid and soft actuators. Soft actuators have proven advantageous over their rigid counterparts through intrinsic safety, cost, and energy efficiency. However, they suffer from low stiffness, which jeopardizes their accuracy. Variable Stiffness Actuators (VSAs) are newly developed technologies that have been proven to ensure accuracy and safety. In this paper, we introduce the novel Supernumerary Robotic Limb based on Variable Stiffness Actuators. Based on our knowledge, the proposed proof-of-concept SRL is the first that utilizes Variable Stiffness Actuators. The developed SRL would assist post-stroke patients in bi-manual tasks, e.g., eating with a fork and knife. The modeling, design, and realization of the system are illustrated. The proposed SRL was evaluated and verified for its accuracy via predefined trajectories. The safety was verified by utilizing the momentum observer for collision detection, and several post-collision reaction strategies were evaluated through the Soft Tissue Injury Test. The assistance process is qualitatively verified through standard user-satisfaction questionnaire.