Sahin Ipsita, Ayazi Mehrnoosh, Mucchiani Caio, Dube Jared, Karydis Konstantinos, Kokkoni Elena
Department of Bioengineering, University of California, Riverside, Riverside, CA, United States.
Department of Electrical and Computer Engineering, University of California, Riverside, Riverside, CA, United States.
Front Robot AI. 2024 Oct 11;11:1302862. doi: 10.3389/frobt.2024.1302862. eCollection 2024.
Soft robotics play an increasing role in the development of exosuits that assist, and in some cases enhance human motion. While most existing efforts have focused on the adult population, devices targeting infants are on the rise. This work investigated how different configurations pertaining to fabric-based pneumatic shoulder and elbow actuator embedding on the passive substrate of an exosuit for pediatric upper extremity motion assistance can affect key performance metrics.
The configurations varied based on actuator anchoring points onto the substrate and the type of fabric used to fabricate the enclosures housing the actuators. Shoulder adduction/abduction and elbow flexion/extension were treated separately. Two different variants (for each case) of similar but distinct actuators were considered. The employed metrics were grouped into two categories; reachable workspace, which includes joint range of motion and end-effector path length; and motion smoothness, which includes end-effector path straightness index and jerk. The former category aimed to capture first-order terms (i.e., rotations and displacements) that capture overall gross motion, while the latter category aimed to shed light on differential terms that correlate with the quality of the attained motion. Extensive experimentation was conducted for each individual considered configuration, and statistical analyses were used to establish distinctive strengths, weaknesses, and trade-offs among those configurations.
The main findings from experiments confirm that the performance of the actuators can be significantly impacted by variations in the anchoring and fabric properties of the enclosures while establishing interesting trade-offs. Specifically, the most appropriate anchoring point was not necessarily the same for all actuator variants. In addition, highly stretchable fabrics not only maintained but even enhanced actuator capabilities, in comparison to the less stretchable materials which turned out to hinder actuator performance.
The established trade-offs can serve as guiding principles for other researchers and practitioners developing upper extremity exosuits.
软机器人技术在助力外骨骼服的发展中发挥着越来越重要的作用,在某些情况下还能增强人类运动能力。虽然目前大多数研究工作都集中在成年人群体上,但针对婴儿的设备也在不断增加。本研究探讨了用于小儿上肢运动辅助的外骨骼服被动衬底上基于织物的气动肩部和肘部致动器的不同配置如何影响关键性能指标。
配置的变化基于致动器在衬底上的锚固点以及用于制造容纳致动器的外壳的织物类型。肩部内收/外展和肘部屈伸分别进行处理。考虑了两种不同变体(每种情况)的相似但不同的致动器。所采用的指标分为两类;可达工作空间,包括关节运动范围和末端执行器路径长度;以及运动平滑度,包括末端执行器路径直线度指数和加加速度。前一类旨在捕获反映整体粗略运动的一阶项(即旋转和位移),而后一类旨在揭示与所实现运动质量相关的微分项。对每个考虑的配置进行了广泛的实验,并使用统计分析来确定这些配置之间的独特优势、劣势和权衡。
实验的主要发现证实,致动器的性能会受到外壳锚固和织物特性变化的显著影响,同时也会产生有趣的权衡。具体而言,并非所有致动器变体的最合适锚固点都是相同的。此外,与事实证明会阻碍致动器性能的低拉伸性材料相比,高拉伸性织物不仅能保持甚至还能增强致动器的能力。
所确定的权衡可为其他开发上肢外骨骼服的研究人员和从业者提供指导原则。