基于触觉反馈的上肢仿生抓取控制。

Luke Osborn, Nitish V Thakor, Rahul Kaliki
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引用次数: 12

摘要

设计了一种增强假手抓取控制和可靠性的仿生系统,并进行了实验评估。在义肢上安装了气压传感器和力敏电阻(FSR),以提供有价值的触觉反馈。开发了接触和滑移检测抓取控制算法来解释力信号,以提高抓取的稳定性。射频识别(RFID)技术的最新进展使截肢者能够根据所要抓住的物体选择抓取控制策略。实验结果表明,该控制算法能够利用实时力响应来检测物体的接触和滑动。通过允许用户使用RFID技术充当高级控制器,可以开发出响应触觉反馈的多层低级控制器,以增强假肢手的抓取功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Utilizing Tactile Feedback for Biomimetic Grasping Control in Upper Limb Prostheses.

Utilizing Tactile Feedback for Biomimetic Grasping Control in Upper Limb Prostheses.

Utilizing Tactile Feedback for Biomimetic Grasping Control in Upper Limb Prostheses.

Utilizing Tactile Feedback for Biomimetic Grasping Control in Upper Limb Prostheses.

A biomimetic system for enhancing the control and reliability of grasping with prosthetic hands was designed and experimentally evaluated. Barometric pressure sensors as well as a force-sensitive resistor (FSR) were placed on a prosthetic hand to provide valuable tactile feedback. Contact and slip detection grip control algorithms were developed to interpret force signals for enhancing stable grasping. Recent advances in radio-frequency identification (RFID) technology enable the amputee to select between grip control strategies based on the desired object to be grasped. Experimental results indicate that the control algorithms are capable of utilizing real-time force responses to detect object contact as well as slip. By allowing the user to act as a high-level controller with RFID technology, a multi-faceted low-level controller that responds to tactile feedback can be developed for enhancing grasping functionality in prosthetic hands.

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