1P1-B06 Analysis of insect odor source localization behavior by manipulating sensory feedback using a brain-machine hybrid system(Neurorobotics & Cognitive Robotics)

2013 ◽  
Vol 2013 (0) ◽  
pp. _1P1-B06_1-_1P1-B06_2
Author(s):  
Ryo MINEGISHI ◽  
Yosuke TAKAHASHI ◽  
Atsushi TAKASHIMA ◽  
Daisuke KURABAYASHI ◽  
Ryohei KANZAKI
Keyword(s):  
Hybrid System ◽  
Source Localization ◽  
Sensory Feedback ◽  
Cognitive Robotics ◽  
Odor Source ◽  
Localization Behavior

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

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

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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