【24h】

Mimic

机译:模仿

获取原文

摘要

Advanced robotic arms have started seeking applications way beyond industrial use in the recent times. Use of these arms in exacting areas like military and medicine will not only extend precision and accuracy to various practices, but also help in saving more lives. This paper is an attempt to propose an algorithm to control robotic arms that are able to mimic the movement of the human arm and also add more precision to a movement by eliminating natural unsteadiness and external noise. The proposed method has been tested on a robotic arm using servo motors which work in accordance with a sensor setup worn on the human arm. The algorithm can be broken down into two steps. In the first step, the readings from the sensors are converted to movement in the robotic arm using an estimation algorithm that uses polynomial regression to predict motion on the basis of certain predefined set of values. The removal of noise and unsteadiness is carried out using a refinement algorithm to eliminate errors of various kinds in the second step.
机译:近年来,先进的机械臂已开始寻求超越工业用途的应用方式。在军事和医学等严峻领域使用这些武器,不仅可以将精度和准确性扩展到各种实践中,而且还可以挽救更多的生命。本文尝试提出一种算法,以控制机器人手臂,该算法能够模仿人类手臂的运动,并通过消除自然的不稳定和外部噪声为运动增加更多的精度。所提出的方法已经在使用伺服电机的机械手臂上进行了测试,该伺服电机根据佩戴在人体手臂上的传感器设置工作。该算法可以分为两个步骤。第一步,使用估计算法将来自传感器的读数转换为机械臂中的运动,该估计算法使用多项式回归来基于某些预定义的值集预测运动。在第二步骤中,使用细化算法消除了各种误差,从而消除了噪声和不稳定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号