Single and multiple odor source localization using hybrid nature-inspired algorithm

Sadhana ◽  
2020 ◽  
Vol 45 (1) ◽  
Author(s):  
Kumar Gaurav ◽  
Ajay Kumar ◽  
Ramanpreet Singh
Keyword(s):  
Source Localization ◽  
Odor Source ◽  
Hybrid Nature ◽  
Nature Inspired Algorithm

Application of a Nature-Inspired Algorithm in Odor Source Localization

2020 ◽  
pp. 51-66
Author(s):  
Kumar Gaurav ◽  
Ramanpreet Singh ◽  
Ajay Kumar ◽  
Ram Dayal
Keyword(s):  
Source Localization ◽  
Odor Source ◽  
Nature Inspired Algorithm

scholarly journals Spontaneous Rapid Odor Source Localization Behavior Requires Interhemispheric Communication

2017 ◽  
Vol 27 (10) ◽  
pp. 1542-1548.e4 ◽  
Author(s):  
José Esquivelzeta Rabell ◽  
Kadir Mutlu ◽  
João Noutel ◽  
Pamela Martin del Olmo ◽  
Sebastian Haesler
Keyword(s):  
Source Localization ◽  
Odor Source ◽  
Interhemispheric Communication ◽  
Localization Behavior

Review of Odor Source Localization Robot Based on Bionic Olfaction

2013 ◽  
Vol 462-463 ◽  
pp. 750-754 ◽  
Author(s):  
Lei Yang ◽  
Jun Bao Zheng ◽  
Jing Bo Chen ◽  
Ya Ming Wang
Keyword(s):  
Information Technology ◽  
Diffusion Model ◽  
Source Localization ◽  
Gas Diffusion ◽  
Odor Source ◽  
Advantages And Disadvantages

This paper summarizes some current typical odor source localization strategies and algorithms. And their advantages and disadvantages are pointed out. Some typical olfactory robots and achievements are listed. It is pointed out that the current questions of odor source localization robot based on bionic olfaction are how to build an accurate gas diffusion model and combining multi-information technology.

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