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首页> 外文期刊>Advanced Robotics: The International Journal of the Robotics Society of Japan >Interaction forces beneath cuffs of physical assistant robots and their motion-based estimation
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Interaction forces beneath cuffs of physical assistant robots and their motion-based estimation

机译:物理助手机器人袖口下的相互作用力及其基于运动的估计

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摘要

Most lower-limb physical assistant robots are fixed to wearers using cuffs. Hence, skin injuries beneath the cuffs are one of the major concerns of the users. A model that describes the relationship between the body posture and the interaction forces at the cuff was developed for use in assessing the risk of injury and improving user comfort. We measured the motion and interaction force beneath cuffs during the sitting and standing motions of subjects and a physical assistant robot which has been hardly reported thus far. Because of slippage and biomechanical motion, a traditional spring-damper model was found to be insufficient to describe the interaction forces associated with the measured motion of the cuffs. A parameter representing the motion or the knee joint angle was added to take into account these factors. Our model for estimation of the interaction forces using a spring, a damper, and the attitude of the lower leg fits the measured data especially well for the thigh cuff and is better than the traditional model. The applicability of this model was verified for several assist modes and wearers. The model was found to describe approximately 90% of the burden on the wearer, which reached a peak of approximately 60 N, the most hazardous condition. Having been validated for a commercial assistant robot, the model can be used to estimate the skin burdens beneath the cuffs without any force-sensitive elements.
机译:大多数下肢物理助手机器人都是使用袖带固定在穿戴者身上的。因此,袖带下方的皮肤伤害是使用者的主要关注之一。开发了一种描述身体姿势与袖带处的相互作用力之间的关系的模型,用于评估伤害风险和改善用户舒适度。我们测量了受试者和一个物理助手机器人在袖带下的站立和站立运动过程中,其在袖口下方的运动和交互作用力,迄今为止尚无报道。由于打滑和生物力学运动,发现传统的弹簧阻尼器模型不足以描述与测量的袖带运动相关的相互作用力。考虑到这些因素,添加了代表运动或膝关节角度的参数。我们使用弹簧,减震器和小腿的姿势来估计相互作用力的模型特别适合大腿袖带的测量数据,并且优于传统模型。该模型的适用性已针对多种辅助模式和佩戴者进行了验证。发现该模型描述了佩戴者身上约90%的负担,最严重的情况是峰值达到约60N。经过商业辅助机器人的验证,该模型可用于估计袖带下的皮肤负担,而无需任何力敏感元素。

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