Intelligent Mobile Olfaction of Swarm Robots

Nurmaini, Siti and Tutuko, Bambang (2013) Intelligent Mobile Olfaction of Swarm Robots. International Journal of Robotics and Automation (IJRA), 2 (4). pp. 189-198. ISSN 2089-4856

[thumbnail of 5085-10319-2-PB_3IJRA.pdf]

Download (511kB) | Preview


This work presents intelligent mobile olfaction design and experimental results of intelligent swarm robots to detection a gas/odour source in an indoor environment by using multi agent based on hybrid algorithm. We examine the problem for deciding when, how and where the gas/odour sensor should be activated. Simple form of cooperation between Interval Type-2 Fuzzy Logic and Particle Swarm Optimization (IT2FL-PSO) algorithm is implemented in the olfaction strategies. The real experiments performed on smaller five mobile robots equipped with dynamic gas/odour sensor TGS2600 and three infra-red sensors. The results show that single robot-based olfaction system with 5 behaviors capable for searching source of a simulated chemical leak in unknown environment and flooking behavior can be done by 3 robots to find the source of gas/odour.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: 09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User: Dr. Ir. MT Siti Nurmaini
Date Deposited: 30 Sep 2019 02:50
Last Modified: 30 Sep 2019 02:50

Actions (login required)

View Item View Item