Alle Publikationen
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2014
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(2014): Designing collective behavior in a termite-inspired robot construction team. In: Science (New York, N.Y.) 343 (6172), S. 754-758. DOI: 10.1126/science.1245842
DOI: http://www.ncbi.nlm.nih.gov/pubmed/24531967 Abstract: Complex systems are characterized by many independent components whose low-level actions produce collective high-level results. Predicting high-level results given low-level rules is a key open challenge; the inverse problem, finding low-level rules that give specific outcomes, is in general still less understood. We present a multi-agent construction system inspired by mound-building termites, solving such an inverse problem. A user specifies a desired structure, and the system automatically generates low-level rules for independent climbing robots that guarantee production of that structure. Robots use only local sensing and coordinate their activity via the shared environment. We demonstrate the approach via a physical realization with three autonomous climbing robots limited to onboard sensing. This work advances the aim of engineering complex systems that achieve specific human-designed goals.
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