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Swarm Robotics refers to the application of Swarm Intelligence techniques where a desired collective behavior emerges from the local interactions of robots with one another and with their environment. In this paper, a modified Bees Algorithm is proposed for multi-target search and coverage by an autonomous swarm of robotic “bees”. The objective is to find targets in an unknown area, send their estimated...
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...
To solve the multi-robot task allocation (MRTA) especially in unknown complex environment, a novel dynamic algorithm was put forward with the advantages of wireless sensor network (WSN). With a powerful abstraction, a formal way of task representation was developed integrating four types of tasks. The architecture and sensor fusion of WSN were discussed. Ant colony optimization (ACO) algorithm based...
In response to the disadvantages of the classical ant colony algorithm in path planning problem, an improved ant colony algorithm was proposed which combined classical algorithm with map-traveling strategy, to solve the problem that how multi-robots cooperated to search for food under the unknown environment. The thinking of method was explained, and the searching process was simulated and shown through...
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