scholarly journals A Graph-Based Formation Algorithm for Odor Plume Tracing

2016 ◽  
pp. 255-269 ◽  
Author(s):  
Jorge M. Soares ◽  
A. Pedro Aguiar ◽  
António M. Pascoal ◽  
Alcherio Martinoli
Keyword(s):  
Odor Plume ◽  
Plume Tracing

Gas/Odor Plume Tracing Robot

1999 ◽  
Vol 6 (1) ◽  
pp. 397-418 ◽  
Author(s):  
Hiroshi Ishida ◽  
T. Nakamoto ◽  
Toyosaka Moriizumi
Keyword(s):  
Odor Plume ◽  
Plume Tracing

Proactively Monitoring and Managing Odors using Real-Time Odor Plume Prediction

2018 ◽  
Vol 2018 (2) ◽  
pp. 580-590
Author(s):  
Charlotte G Smith ◽  
Steven Daniels
Keyword(s):  
Real Time ◽  
Odor Plume

Horizontal and Vertical Odor Plume Trapping of Red King Crabs Explains the Different Efficiency of Top- and Side-Entrance Pot Designs

2010 ◽  
Vol 139 (2) ◽  
pp. 483-490 ◽  
Author(s):  
Stian Stiansen ◽  
Anders Fernö ◽  
Dag Furevik ◽  
Terje Jørgensen ◽  
Svein Løkkeborg
Keyword(s):  
Odor Plume

scholarly journals Optimal Swarm Formation for Odor Plume Finding

2014 ◽  
Vol 44 (12) ◽  
pp. 2302-2315 ◽  
Author(s):  
Ali Marjovi ◽  
Lino Marques
Keyword(s):  
Odor Plume ◽  
Swarm Formation

Decentralized Exergy/Entropy Thermodynamic Control for Collective Robotic Systems

2007 ◽  
Author(s):  
Rush D. Robinett ◽  
David G. Wilson
Keyword(s):  
Decentralized Control ◽  
Direct Method ◽  
Robotic Systems ◽  
Control Law ◽  
Thermodynamic Control ◽  
Order Accuracy ◽  
Control Laws ◽  
Vector Lyapunov Function ◽  
Collective Control ◽  
Plume Tracing

This paper develops a distributed decentralized control law for collective robotic systems. The control laws are developed based on exergy/entropy thermodynamic concepts and information theory. The source field is characterized through second-order accuracy. The proposed feedback control law stability for both the collective and individual robots are demonstrated by selecting a general Hamiltonian based solution developed as Fisher Information Equivalency as the vector Lyapunov function. Stability boundaries and system performance are then determined with Lyapunov’s direct method. A robot collective plume tracing numerical simulation example demonstrates this decentralized exergy/entropy collective control architecture.

scholarly journals Optimal spatial formation of swarm robotic gas sensors in odor plume finding

2013 ◽  
Vol 35 (2-3) ◽  
pp. 93-109 ◽  
Author(s):  
Ali Marjovi ◽  
Lino Marques
Keyword(s):  
Gas Sensors ◽  
Odor Plume
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