期刊
ROBOTICS AND AUTONOMOUS SYSTEMS
卷 112, 期 -, 页码 123-136出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.robot.2018.11.014
关键词
Odor source localization; Chemical plume tracking; Mobile robot
资金
- National Natural Science Foundation of China [61473130]
- special program for technology innovation of Hubei Province, China [2016AAA039]
- Beijing Advanced Innovation Center of Intelligent Robots and Systems, China [2016IRS 10]
- China Scholarship Council [201706160029]
When applied in some harsh environments (e.g. in poisonous atmosphere or underwater), odor source localization robots are able to perform better than animals without being hurt. During the past three decades, robotic odor source localization has become a popular research field with various algorithms being proposed. These algorithms can be roughly divided into four categories: gradient-based algorithms, bio-inspired algorithms, multi-robot algorithms and probabilistic and map-based algorithms. In this paper, we present a literature review of these four categories and discuss their pros and cons. We also discuss the current trends and some future challenges according to some research papers published in recent years. (C) 2018 Elsevier B.V. All rights reserved.
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