@article{831, author = {Justin Werfel and Kirstin Petersen and Radhika Nagpal}, title = {Designing Collective Behavior in a Termite-Inspired Robot Construction Team}, 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.
}, year = {2014}, journal = {Science}, volume = {343}, note = {PDF (Front Cover)\ -\ Supplement and Movies\ \ -\ Perspective\ -\ Science\ Top10}, language = {eng}, }