汪小龙, 葛运建, 张建军, 宋光明. 一种基于分布式信息融合技术的水下机器人智能感知系统方案[J]. 机器人, 2002, 24(5): 432-435.
引用本文: 汪小龙, 葛运建, 张建军, 宋光明. 一种基于分布式信息融合技术的水下机器人智能感知系统方案[J]. 机器人, 2002, 24(5): 432-435.
WANG Xiao-long, GE Yun-jian, ZHANG Jian-jun, SONG Guang-ming. AN INTELLIGENT PERCEPTIVE SYSTEM FOR UNDERWATER ROBOT BASED ON DISTRIBUTED INFORMATION FUSION[J]. ROBOT, 2002, 24(5): 432-435.
Citation: WANG Xiao-long, GE Yun-jian, ZHANG Jian-jun, SONG Guang-ming. AN INTELLIGENT PERCEPTIVE SYSTEM FOR UNDERWATER ROBOT BASED ON DISTRIBUTED INFORMATION FUSION[J]. ROBOT, 2002, 24(5): 432-435.

一种基于分布式信息融合技术的水下机器人智能感知系统方案

AN INTELLIGENT PERCEPTIVE SYSTEM FOR UNDERWATER ROBOT BASED ON DISTRIBUTED INFORMATION FUSION

  • 摘要: 水下机器人的研究和使用对人类开发海洋资源具有重大意义.随着海洋探测深度的增加,自治水下机器人(AUV)正成为新的研究热点.为解决AUV深海域探测所面临的通讯速率低和实时性问题,本文提出了“基于分布式信息融合技术的水下机器人智能感知系统”的实施方案,并以贝壳抓取过程为实例,解释系统解决实际问题的过程.

     

    Abstract: The study and use of underwater robot is of significant importance for sea exploration. With the development of sea exploration, the Autonomous Underwater Vehicle(AUV)are becoming a new focus of study. To solve the problem of low communication rate and the problem of real-time for AUV in deep sea exploration, we propose a scheme for "an intelligent perceptive system based on distributed information fusion for underwater robot", and explain the process of the system to solve practical problems using the instance of conch-snatch.

     

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