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The use of a swarm of autonomous robots for simulated bushfire fighting is studied in this work. A distributed and behavioral control strategy, the Ants based Control of Swarm Robots (ACSR), is proposed. In this approach, each fire fighting robot can operate independently from decentralized controllers and the goal is accomplished by the individual robot's own ability. In particular, improvements...
The capability of solving the simultaneous localization and mapping (SLAM) problem is one of the fundamental tasks of mobile robots and many research has focused on this problem over the last decades. In this paper, the SLAM problem is considered as the problem of finding an optimal path through a tree resulting in minimum costs. For this purpose, we apply the Ant Colony Optimization meta-heuristic,...
This research investigates the application of swarm intelligence principles for the co-operative behavior of autonomous collective robots. Using swarm intelligence technique robots are able to get their optimized path during navigation. A successful way of structuring the navigation task deals with the issue of co-operative behavior among multiple mobile robots. Using Ant Colony Optimization, robot...
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