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Neuro-fuzzy estimation of passive robotic joint safe velocity with embedded sensors of conductive silicone rubber

机译:嵌入式硅橡胶传感器在被动机器人关节安全速度神经模糊估计中的应用

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摘要

Robotic operations need to be safe for unpredictable contacts. Joints with passive compliance with springs can be used for soft robotic contacts. However the joints cannot measure external collision forces. In this investigation was developed one passive compliant joint which have soft contacts with external objects and measurement capabilities. To ensure it, conductive silicone rubber was used as material for modeling of the compliant segments of the robotic joint. These compliant segments represent embedded sensors. The conductive silicone rubber is electrically conductive by deformations. The main task was to obtain elastic absorbers for the external collision forces. These absorbers can be used for measurement in the same time. In other words, the joint has an internal measurement system. Adaptive neuro fuzzy inference system (ANFIS) was used to estimate the safety level of the robotic joint by head injury criteria (HIC).
机译:机器人操作必须安全以防意外接触。具有弹簧被动适应性的关节可用于机器人的软触点。但是,关节无法测量外部碰撞力。在这项研究中,开发了一种被动顺应性接头,该接头与外部物体具有软接触并具有测量能力。为了确保这一点,导电硅橡胶被用作建模机器人关节柔顺段的材料。这些合规段代表嵌入式传感器。导电硅橡胶通过变形而导电。主要任务是获得用于外部碰撞力的弹性减震器。这些吸收器可同时用于测量。换句话说,关节具有内部测量系统。自适应神经模糊推理系统(ANFIS)用于通过头部受伤标准(HIC)估算机器人关节的安全性水平。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2016年第5期|486-498|共13页
  • 作者单位

    Information Science Department, College of Computing Sciences and Engineering, Kuwait University, Kuwait;

    University of Nis, Faculty of Mechanical Engineering, Department for Mechatronics, Aleksandra Medvedeva 14, 18000 Nis, Serbia;

    Department of Software Engineering, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia;

    Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia;

    Ilmenau University of Technology, Faculty of Mechanical Engineering, Department of Mechanism Technology, P.O. Box 100565, 98684 Ilmenau, Germany;

    Ilmenau University of Technology, Faculty of Mechanical Engineering, Department of Mechanism Technology, P.O. Box 100565, 98684 Ilmenau, Germany;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Passive joint; Compliant joint; Head injury safety; Robot collision; ANFIS network;

    机译:被动关节合规;头部受伤安全;机器人碰撞;ANFIS网络;

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