Introduction:
People have long dreamt about machines having abilities to perceive and understand the environment and react intelligently towards it. This gave rise to the field currently known as robotics. Initially, started under the notion of Artificial Intelligence this field gained relevance and in the early 90s when people started noticing patterns in natural behaviour which could be replicated easily in machines. One such phenomenon was the collective and collaborative behaviour of natural beings like ants, bees and fishes to achieve tasks which when other done alone would be utterly impossible. This set phenomenon gave rise to the field of robotics known as Cooperative Multi Agent Robot Systems or in layman terms Swarm Robot Systems.
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Part I: Simulation of one soft agent for unknown-area exploration using SRT algorithm.
simulation.mov
Note: The original map (solid black lines) is just for reference.
Part II: Simulation of two soft agents for unknown-area exploration using optimized Global Frontier-based SRT algorithm .
Part III: Clustering of visited points into sections of linear traversal and selection of control points.
