Publication Type : Conference Paper
Publisher : ACWR 2011 - Proceedings of the International Conference on Wireless Technologies for Humanitarian Relief
Source : ACWR 2011 - Proceedings of the International Conference on Wireless Technologies for Humanitarian Relief, Amritapuri, p.123-127 (2011)
Keywords : ACO algorithms, Algorithms, Ant Colony Optimization (ACO), Artificial intelligence, Disaster prevention, Disaster relief, Equipment testing, Image processing, Image processing algorithm, Lighting conditions, Object identification, Object of interests, Practical tests, Real-time tasks, Remote areas, Robots, Small robots, Swarm Intelligence, Wireless telecommunication systems
Campus : Kochi
School : School of Engineering
Department : Computer Science
Year : 2011
Abstract : This paper presents details of small disaster-relief robots that move inside a building to locate a specific object or person and find the shortest route from the object to outside using swarm intelligence routing. Multiple small robots are used for redundancy and ease of access to remote areas. Each robot has different sensors (Camera, ultrasonic sensor, temperature sensor etc) to locate the object of interest in various lighting conditions. These robots communicate with each other, dynamically isolate the failed robots and form a group of nodes (robots). In this paper we discuss also ant colony optimization (ACO) techniques to find the shortest route between the object of interest and the outside. The ACO algorithm used is described briefly. We use a practical test bed consisting of TI Evalbot small robots. Real time task scheduling on these robots are done using uC/OS. Description of the object identification image processing algorithm is also given.
Cite this Research Publication : Sa Ganesan, Shakya, Ma, Aqueel, A. Fa, and , “Small disaster relief robots with swarm intelligence routing”, in ACWR 2011 - Proceedings of the International Conference on Wireless Technologies for Humanitarian Relief, Amritapuri, 2011, pp. 123-127.