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A preliminary investigation into the design of pressure cushions and their potential applications for forearm robotic orthoses

机译:压力垫的设计及其在前臂机器人矫形器中的潜在应用的初步研究

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摘要

Background: Load cells are often used in rehabilitation robotics to monitor human–robot interaction. While load cells are accurate and suitable for the stationary end-point robots used in rehabilitation hospitals, their cost and inability to conform to the shape of the body hinder their application in developing affordable and wearable robotic orthoses for assisting individuals in the activities of daily living. This exploratory work investigates the possibility of using an alternative technology, namely compliant polymeric air cushions, to measure interaction forces between the user and a wearable rigid structure. Methods: A polymeric air cushion was designed, analyzed using a finite element model (FEM), and tested using a bench-top characterization system. The cushions underwent repeatability testing, and signal delay testing from a step response while increasing the length of the cushion’s tubes. Subsequently, a 3D printed wrist brace prototype was integrated with six polymeric air cushions and tested in static conditions where a volunteer exerted isometric pronation/supination torque and forces in vertical and horizontal directions. The load measured by integrating data recorded by the six sensors was compared with force data measured by a high quality load cell and torque sensor. Results: The FEM and experimental data comparison was within the error bounds of the external differential pressure sensor used to monitor the pressure inside the cushion. The ratio obtained experimentally between the pressure inside the pressure cushion and the 8 N applied load deviated by only 1.28% from the FEM. A drift smaller than 1% was observed over 10 cycles. The rise times of the cushion under an 8 N step response for a 0.46, 1.03, and 2.02 m length tube was 0.45, 0.39, and 0.37 s. Tests with the wrist brace showed a moderate root mean square error (RMSE) between the force estimated by the pressure cushions and the external load cells. Specifically, the RMSE was 13 mNm, 500 mN, and 1.24 N for forearm pronation/supination torque, vertical force, and horizontal force, respectively. Conclusions: The use of compliant pressure cushions was shown to be promising for monitoring interaction forces between the forearm and a rigid brace. This work lays the foundation for the future design of an array of pressure cushions for robotic orthoses. Future research should also investigate the compatibility of these polymeric cushions for data acquisition during functional magnetic resonance imaging in shielded rooms.
机译:背景:称重传感器通常用于康复机器人中,以监视人机交互。虽然称重传感器准确且适用于康复医院中使用的固定式端点机器人,但其成本和无法适应身体形状的情况阻碍了它们在开发可负担得起且可穿戴的机器人矫形器中应用,以帮助个人进行日常活动。这项探索性工作研究了使用替代技术(即顺应性聚合物气垫)来测量用户与可穿戴刚性结构之间相互作用力的可能性。方法:设计了聚合物气垫,使用有限元模型(FEM)进行了分析,并使用台式表征系统进行了测试。对坐垫进行了重复性测试,并从阶跃响应中进行了信号延迟测试,同时增加了坐垫管的长度。随后,将3D打印的腕带支架原型与六个聚合气垫整合在一起,并在静态条件下进行测试,其中志愿者在垂直和水平方向上施加了等距内旋/旋动扭矩和作用力。将通过集成六个传感器记录的数据测得的负载与高质量传感器和扭矩传感器测得的力数据进行比较。结果:有限元分析和实验数据比较在用于监控垫子内部压力的外部差压传感器的误差范围内。通过实验获得的压力垫内部压力与施加的8 N负载之间的比率仅比FEM偏离了1.28%。在10个周期内观察到的漂移小于1%。对于长度为0.46、1.03和2.02 m的管,在8 N阶跃响应下,缓冲垫的上升时间为0.45、0.39和0.37 s。用腕托进行的测试表明,在压力垫和外部测力计估计的力之间存在中等的均方根误差(RMSE)。具体而言,对于前臂旋前/旋前扭矩,垂直力和水平力,RMSE分别为13 mNm,500 mN和1.24N。结论:使用顺应性压力垫被证明对监测前臂和刚性支架之间的相互作用力很有希望。这项工作为未来用于机器人矫形器的压力垫阵列的设计奠定了基础。未来的研究还应该研究这些聚合物垫子在屏蔽室中进行功能磁共振成像时用于数据采集的兼容性。

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