首页> 外文会议>35 years of chemical sensors-an honorary symposium for professor Jiri Janata's 70th birthday celebration >Actively Generated Flow Field Helps a Crayfish Robot Collect Chemical Signals
【24h】

Actively Generated Flow Field Helps a Crayfish Robot Collect Chemical Signals

机译:主动生成的流场帮助小龙虾机器人收集化学信号

获取原文
获取原文并翻译 | 示例

摘要

This paper reports on an underwater wheeled robot designed to locate chemical sources by mimicking the behavior of a crayfish in still water. Crayfish in search of food generate water currents by waving their fan organs, I.e., the maxillipeds, to collect the food odors from the surroundings to the chemoreceptor organs. Similarly, the robot waves the arms mimicking the maxillipeds, and generates a flow field to collect chemicals to the four sensors. The generated flow field brings chemicals released from different areas to the different sensors. Therefore, the direction of the chemical source can be determined by simply comparing the sensor responses. Although the maximum range for drawing the chemical is approximately 5 cm, the chemical sensing ability of the robot is significantly improved. Experimental results show that the robot can localize a chemical source by employing the actively generated flow field.
机译:本文报道了一种水下轮式机器人,该机器人旨在通过模仿小龙虾在静止水中的行为来定位化学源。寻找食物的小龙虾通过挥舞其扇形器官(即最大的ped)而产生水流,以收集从周围环境到化学感受器器官的食物气味。类似地,机器人挥动手臂模仿拟足动物,并产生流场以将化学物质收集到四个传感器上。产生的流场将从不同区域释放的化学物质带到不同的传感器。因此,可以通过简单地比较传感器响应来确定化学源的方向。尽管绘制化学药品的最大范围约为5厘米,但机器人的化学感应能力已显着提高。实验结果表明,该机器人可以利用主动产生的流场来定位化学源。

著录项

  • 来源
  • 会议地点 San Francisco CA(US)
  • 作者

    M. Ohashi; S. Enomoto; H. Ishida;

  • 作者单位

    Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Koganei, Tokyo 184-8588, Japan;

    Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Koganei, Tokyo 184-8588, Japan;

    Department of Mechanical Systems Engineering, Tokyo University of Agriculture and Technology, 2-24-16 Koganei, Tokyo 184-8588, Japan;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP212.2;
  • 关键词

  • 入库时间 2022-08-26 14:19:32

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