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移动机器人主动嗅觉气源定位方法研究综述

何丽 杜洋鋆 李知远 冉腾 肖文东 姚佳程

计算机工程与应用2025,Vol.61Issue(10):36-49,14.
计算机工程与应用2025,Vol.61Issue(10):36-49,14.DOI:10.3778/j.issn.1002-8331.2410-0128

移动机器人主动嗅觉气源定位方法研究综述

Review of Active Olfactory Odor Source Localization Methods for Mobile Robots

何丽 1杜洋鋆 1李知远 1冉腾 1肖文东 1姚佳程1

作者信息

  • 1. 新疆大学 智能制造现代产业学院(机械工程学院),乌鲁木齐 830017
  • 折叠

摘要

Abstract

The incidents of toxic and hazardous gas leakage have increasingly come to the attention of the public with the rapid expansion of the energy chemical industry.The application of robotic active olfaction technology has emerged as a hot research topic with the objective of achieving the ability to trace and localize gas leakage spots.At present,most research reviews focus on the application of a specific approach to odor source localization,lacking a comprehensive overview of the development history and current progress of robotic active olfactory technology.This paper provides an overview of active olfactory odor source localization methods for mobile robots,details the classical algorithms,the current status of research in this field,and the challenges inherent to the three subtasks:plume discovery,plume tracking,and odor source confirmation.The paper concludes with a discussion of the prospective evolution of robot odor source localization technology.In addressing issues such as lack of environmental adaptability and poor real-world robustness,the paper puts forward research directions including multi-sensory fusion,plume tracking algorithm optimization,and applications in complex environments,and provides insights for future mobile robot olfactory research.

关键词

机器人嗅觉/气源定位/主动嗅觉/移动机器人/信息融合

Key words

robot olfaction/odor source localization/active olfaction/mobile robots/information fusion

分类

计算机与自动化

引用本文复制引用

何丽,杜洋鋆,李知远,冉腾,肖文东,姚佳程..移动机器人主动嗅觉气源定位方法研究综述[J].计算机工程与应用,2025,61(10):36-49,14.

基金项目

新疆维吾尔自治区重点研发计划(2022B01050-2). (2022B01050-2)

计算机工程与应用

OA北大核心

1002-8331

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