@article { 33,
	title = {Designing Collective Behavior in a Termite-Inspired Robot Construction Team},
	journal = {Science},
	volume = {343},
	number = {6172},
	year = {2014},
	note = {PDF (Front Cover)\&nbsp;-\&nbsp;Supplement and Movies\&nbsp;\&nbsp;-\&nbsp;Perspective\&nbsp;-\&nbsp;Science\&nbsp;Top10},
	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.},
	author = {Werfel, Justin and Kirstin Petersen and Radhika Nagpal}
}
