scholarly journals Odor Plume Tracking Algorithm Inspired on Evolution

2014 ◽  
pp. 321-330 ◽  
Author(s):  
B. Lorena Villarreal ◽  
Gustavo Olague ◽  
J. L. Gordillo
Keyword(s):  
Tracking Algorithm ◽  
Odor Plume ◽  
Plume Tracking

P2.9.22 Odor plume tracking using a mobile robot withpseudochemotaxis

2012 ◽  
Author(s):  
Y. Takei ◽  
N. Masuta ◽  
H. Nanto
Keyword(s):  
Mobile Robot ◽  
Odor Plume ◽  
Plume Tracking

scholarly journals Alternation emerges as a multi-modal strategy for turbulent odor navigation

2021 ◽  
Author(s):  
Nicola Rigolli ◽  
Gautam Reddy ◽  
Agnese Seminara ◽  
Massimo Vergassola
Keyword(s):  
Search Task ◽  
Search Time ◽  
Optimization Methods ◽  
Value Theory ◽  
Odor Plume ◽  
Marginal Value ◽  
Plume Tracking ◽  
Flying Insects ◽  
Complex Goal ◽  
Goal Directed Behavior

Foraging mammals exhibit a familiar yet poorly characterized phenomenon, "alternation", a momentary pause to sniff in the air often preceded by the animal rearing on its hind legs or raising its head. Intriguingly, rodents executing an olfactory search task spontaneously exhibit alternation in the presence of airflow, suggesting that alternation may serve an important role during turbulent plume-tracking. To test this hypothesis, we combine fully-resolved numerical simulations of turbulent odor transport and Bellman optimization methods for decision-making under partial observability. We show that an agent trained to minimize search time in a realistic odor plume exhibits extensive alternation together with the characteristic cast-and-surge behavior commonly observed in flying insects. Alternation is tightly linked with casting and occurs more frequently when the agent is far downwind of the source, where the likelihood of detecting airborne cues is higher relative to cues close to the ground. Casting and alternation emerge as complementary tools for effective exploration when cues are sparse. We develop a model based on marginal value theory to capture the interplay between casting, surging and alternation. More generally, we show how multiple sensorimotor modalities can be fruitfully integrated during complex goal-directed behavior.

An experimental study of 3D odor plume tracking using multicopter with gas sensor array

2015 ◽  
Author(s):  
Shinji Tanaka ◽  
Yoshinori Takei ◽  
Kazuki Hirasawa ◽  
Hidehito Nanto
Keyword(s):  
Experimental Study ◽  
Gas Sensor ◽  
Sensor Array ◽  
Odor Plume ◽  
Plume Tracking ◽  
Gas Sensor Array

scholarly journals A bio-inspired plume tracking algorithm for mobile sensing swarms in turbulent flow

2013 ◽  
Author(s):  
Dongsik Chang ◽  
Wencen Wu ◽  
Donald R. Webster ◽  
Marc J. Weissburg ◽  
Fumin Zhang
Keyword(s):  
Turbulent Flow ◽  
Mobile Sensing ◽  
Tracking Algorithm ◽  
Plume Tracking

scholarly journals The role of vision in odor-plume tracking by walking and flying insects

2011 ◽  
Vol 214 (24) ◽  
pp. 4121-4132 ◽  
Author(s):  
M. A. Willis ◽  
J. L. Avondet ◽  
E. Zheng
Keyword(s):  
Odor Plume ◽  
Plume Tracking ◽  
Flying Insects

Controlling a gas/odor plume-tracking robot based on transient responses of gas sensors

2005 ◽  
Vol 5 (3) ◽  
pp. 537-545 ◽  
Author(s):  
H. Ishida ◽  
G. Nakayama ◽  
T. Nakamoto ◽  
T. Moriizumi
Keyword(s):  
Gas Sensors ◽  
Odor Plume ◽  
Transient Responses ◽  
Plume Tracking

An Initial Study on the Effects of Signal Intermittency on the Odor Plume Tracking Behavior of the American Lobster, Homarus americanus

2001 ◽  
Vol 201 (2) ◽  
pp. 274-276 ◽  
Author(s):  
Corinne Kozlowski ◽  
Kara Yopak ◽  
Rainer Voigt ◽  
Jelle Atema
Keyword(s):  
Homarus Americanus ◽  
Initial Study ◽  
American Lobster ◽  
Odor Plume ◽  
Plume Tracking ◽  
Tracking Behavior

An Airflow Analysis Study of Quadrotor Based Flying Sniffer Robot

2014 ◽  
Vol 627 ◽  
pp. 246-250 ◽  
Author(s):  
Kok Seng Eu ◽  
Kian Meng Yap ◽  
Tiam Hee Tee
Keyword(s):  
Quantitative Measurement ◽  
Feasible Solution ◽  
Simulation Analysis ◽  
Research Trend ◽  
Odor Plume ◽  
Plume Tracking ◽  
3D Space ◽  
Odor Plumes ◽  
Computational Fluid Dynamics Cfd ◽  
2D Space

Wheeled based sniffer robots have been using in current research trend of odor plume tracking, but they have a serious pitfall because they only perform2D odor plume tracking which is ineffective. The main reason of being ineffective is because wheeled sniffer robots ignore the fact that the majority of odor plumes are released into 3D space instead of 2D space. Therefore, a flying sniffer robot is needed to overcome 3D odor plume tracking problem. In this paper, we propose to use a quadrotor as the locomotion of a flying sniffer robot. In order to make sure the quadrotor based flying sniffer robot can perform well in odor plumes tracking, we have carried out a detail study in airflow simulation analysis by using Computational Fluid Dynamics (CFD) software. Besides, we also conducted experiments to determine the odor sensing ability of quadrotor based flying sniffer robot. From our experiments, we are able to identify the odor sensing region of quadrotor based flying sniffer robot in quantitative measurement. From airflow analysis simulation study and experiments, we proved that a quadrotor based flying sniffer robot is a feasible solution for 3D odor plume tracking.

Braitenberg's vehicle-like odor plume tracking robot

2014 ◽  
Author(s):  
Yoshinori Takei ◽  
Yuhei Shimizu ◽  
Kazuki Hirasawa ◽  
Hidehito Nanto
Keyword(s):  
Odor Plume ◽  
Plume Tracking
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