Multiple robots plume-tracing in open space obstructed environments

Authors:
Zhenzhang Liu;Tien-Fu Lu
Affiliations:
Robotics Research Group, The University of Adelaide, Australia;Robotics Research Group, The University of Adelaide, Australia
Venue:
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Year:
2009

Citing 7
Cited 0

Mobile robot navigation using vision and olfaction to search for a gas/odor source

Autonomous Robots
A biomimetic robot for tracking specific odors in turbulent plumes

Autonomous Robots
Using naïve physics for odor localization in a cluttered indoor environment

Autonomous Robots
An artificial moth: Chemical source localization using a robot based neuronal model of moth optomotor anemotactic search

Autonomous Robots
Agent-based chemical plume tracing using fluid dynamics

FAABS'04 Proceedings of the Third international conference on Formal Approaches to Agent-Based Systems
A pso-based mobile robot for odor source localization in dynamic advection-diffusion with obstacles environment: theory, simulation and measurement

IEEE Computational Intelligence Magazine
Chemical Plume Source Localization

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Plume-tracing mobile robots have the potential to detect emissions caused by dangerous sources, such as early stage fire, toxic gas and explosives, without endangering human life during the detection and source localization process. So far, most researchers have focused on odour source localization using a single mobile robot: however, using a single robot to locate an odour source has limitations. In this study, multiple robots were adopted and cooperated with a superviosory program to locate an odour source in open space, wind-varying obstructed environments. The supervisory program collected information from individual robots and designated different control commands to individual robots. Based on the information provided by individual robots. Based on the information provided by individual robots. the supervisory Program was able to determine a region where the odour source was located. A series of simulations has been conducted and the simulations outcomes showed that the proposed strategies for multiple robots are successful in locating an odour source.