Probability-PSO Algorithm for Multi-robot Based Odor Source Localization in Ventilated Indoor Environments

2008 ◽  
pp. 1206-1215 ◽  
Author(s):  
Fei Li ◽  
Qing-Hao Meng ◽  
Shuang Bai ◽  
Ji-Gong Li ◽  
Dorin Popescu
Keyword(s):  
Source Localization ◽  
Pso Algorithm ◽  
Indoor Environments ◽  
Odor Source ◽  
Multi Robot

Odor Source Localization Research of Mobile Robots in Indoor Environments

2013 ◽  
Vol 441 ◽  
pp. 796-800
Author(s):  
Chun Shu Li ◽  
Zhi Hua Yang ◽  
Gen Qun Cui ◽  
Bo Jin
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Source Localization ◽  
Control Strategies ◽  
Grid Method ◽  
Indoor Environments ◽  
Odor Source ◽  
Localization Algorithm ◽  
Plume Tracing ◽  
Short Time

Aiming at the odor source localization in an obstacle-filled wind-varying indoor environment, a new method based odor source localization algorithm for a single mobile robot is proposed. With the information of the wind and the concentration gradient, Wasps can find odor source in a short time. However, it is very difficult for mobile robots to mimic the behaviors of wasps exactly. So, besides the bionics, BP neural network is adopted for the mobile robot to find the odor source. The control strategies for the plume-tracing mobile robot are proposed which include the intelligent plume-tracing algorithm and the collision avoidance algorithm based on improved potential grid method. The algorithms were integrated to control the robot trace plumes in obstructed indoor environments. Experimental results have demonstrated the capability of this kind of plume-tracing mobile robot.

P-PSO Algorithm Based Multi-robot Odor Source Search in Ventilated Indoor Environment with Obstacles

2010 ◽  
Vol 35 (12) ◽  
pp. 1573-1579 ◽  
Author(s):  
Fei LI ◽  
Qing-Hao MENG ◽  
Ji-Gong LI ◽  
Ming ZENG
Keyword(s):  
Indoor Environment ◽  
Pso Algorithm ◽  
Odor Source ◽  
Multi Robot
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