Odor source localization algorithms on mobile robots: A review and future outlook

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 algorithm...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Robotics and autonomous systems Jg. 112; S. 123 - 136
Hauptverfasser: Chen, Xin-xing, Huang, Jian
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.02.2019
Schlagworte:
Chemical plume tracking
Mobile robot
Odor source localization
Odor source localization
Mobile robot
Chemical plume tracking
ISSN:0921-8890, 1872-793X
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:0921-8890
1872-793X
DOI:10.1016/j.robot.2018.11.014