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README.md

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This repository contains training and testing scripts for a decentralized CNN-based controller in a multi-robot coverage control scenario.
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## Description
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![][cnn_coverage/pics/setup.pdf]
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<img src="pics/setup.pdf" width="425"/>
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This CNN-based controller maps locally available information to control actions for each robot. Local information is represented in the form of a 3-channels grid-shaped object, where the first channel encodes information about the local density function, the second one the relative position of detected team-mates, and the third one the relative position of obstacles and boundaries.
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<img src="pics/cnn-arch-page-fit.pdf" width="425"/>
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The model processes the input information and returns the 2D velocity for the robot.
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## Training
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Data is collected running an expert algorithm, generating pairs of (images, velocities) pairs for the training algorithm to learn how to produce a suitable control input for the robot.

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