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Distributed, Physics-Based Control of Swarms of Vehicles
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Biologically-inspired self-assembly of two-dimensional shapes using global-to-local compilation
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Scalable self-assembly and self-repair in a collective of robots
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A distributed formation algorithm to organize agents with no coordinate agreement
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Infrastructureless storage in dynamic environments
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Application notes: robust morphogenesis of robotic swarms
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A morphogenetic approach to flexible and robust shape formation for swarm robotic systems
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Mitigating multi-path fading in a mobile mesh network
Ad Hoc Networks
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We describe a decentralized algorithm for coordinating a swarm of identically-programmed mobile agents to spatially self-aggregate into arbitrary shapes using only local interactions. Our approach, called SHAPEBUGS, generates a consensus coordinate system by agents continually performing local trilaterations, and achieves shape formation by simultaneously allowing agents to disperse within the defined 2D shape using a Contained Gas Model. This approach has several novel features (1) agents can easily aggregate into arbitrary user-specified shapes, using a formation process that is independent of the number of agents (2) the system automatically adapts to influx and death of agents, as well as accidental displacement. We show that the consensus coordinate system is robust and provides reasonable accuracy in the face of significant sensor and movement error.