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  • 1
    Publication Date: 2007-11-17
    Description: Collective behavior based on self-organization has been shown in group-living animals from insects to vertebrates. These findings have stimulated engineers to investigate approaches for the coordination of autonomous multirobot systems based on self-organization. In this experimental study, we show collective decision-making by mixed groups of cockroaches and socially integrated autonomous robots, leading to shared shelter selection. Individuals, natural or artificial, are perceived as equivalent, and the collective decision emerges from nonlinear feedbacks based on local interactions. Even when in the minority, robots can modulate the collective decision-making process and produce a global pattern not observed in their absence. These results demonstrate the possibility of using intelligent autonomous devices to study and control self-organized behavioral patterns in group-living animals.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Halloy, J -- Sempo, G -- Caprari, G -- Rivault, C -- Asadpour, M -- Tache, F -- Said, I -- Durier, V -- Canonge, S -- Ame, J M -- Detrain, C -- Correll, N -- Martinoli, A -- Mondada, F -- Siegwart, R -- Deneubourg, J L -- New York, N.Y. -- Science. 2007 Nov 16;318(5853):1155-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Universite Libre de Bruxelles, Service d'Ecologie Sociale CP231, Avenue F. D. Roosevelt, 50, B-1050 Brussels, Belgium. jhalloy@ulb.ac.be〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18006751" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Choice Behavior ; Male ; Models, Biological ; Periplaneta/*physiology ; *Robotics ; *Social Behavior
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2015-03-21
    Description: Tightly integrating sensing, actuation, and computation into composites could enable a new generation of truly smart material systems that can change their appearance and shape autonomously. Applications for such materials include airfoils that change their aerodynamic profile, vehicles with camouflage abilities, bridges that detect and repair damage, or robotic skins and prosthetics with a realistic sense of touch. Although integrating sensors and actuators into composites is becoming increasingly common, the opportunities afforded by embedded computation have only been marginally explored. Here, the key challenge is the gap between the continuous physics of materials and the discrete mathematics of computation. Bridging this gap requires a fundamental understanding of the constituents of such robotic materials and the distributed algorithms and controls that make these structures smart.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉McEvoy, M A -- Correll, N -- New York, N.Y. -- Science. 2015 Mar 20;347(6228):1261689. doi: 10.1126/science.1261689.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Computer Science, University of Colorado at Boulder, Boulder, CO, USA. ; Department of Computer Science, University of Colorado at Boulder, Boulder, CO, USA. ncorrell@colorado.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25792332" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Bioengineering ; *Biomimetic Materials ; *Bionics ; Communication ; Humans ; Interdisciplinary Studies ; *Robotics ; Signal Processing, Computer-Assisted
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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