Title :
Indoor odour source localisation using robot: Are there advantageous initial locations?
Author_Institution :
Mech. Dept., Univ. of Adelaide, Adelaide, SA, Australia
Abstract :
Learning from insects but using autonomous robot to detect chemical emissions caused by such as fire, toxic gas leakage and explosive at their early stages, and localise their sources swiftly can avoid risking human health and even saving lives. This paper presents the investigations aimed to find answers for an important question, “Are there advantageous locations when releasing robot for speedier chemical source localisation with no prior knowledge about the environment as well as the plume propagation and distribution?” To find the answers, a simulated autonomous robot and an indoor office-like environment which contains an odour/gas source emitting varying chemical concentration levels as well as constantly varied wind speeds and directions, were adopted.
Keywords :
chemical hazards; electronic noses; health and safety; learning (artificial intelligence); risk analysis; robots; autonomous robot; chemical emissions; chemical source localisation; human health; indoor odour source localisation; initial locations; insects; learning; plume propagation; Chemicals; Insects; Robot kinematics; Robot sensing systems; Trajectory;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2011 IEEE International Conference on
Conference_Location :
Karon Beach, Phuket
Print_ISBN :
978-1-4577-2136-6
DOI :
10.1109/ROBIO.2011.6181316