{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T17:42:07Z","timestamp":1784223727828,"version":"3.55.0"},"reference-count":22,"publisher":"SAGE Publications","issue":"5-6","license":[{"start":{"date-parts":[[2006,5,1]],"date-time":"2006-05-01T00:00:00Z","timestamp":1146441600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The International Journal of Robotics Research"],"published-print":{"date-parts":[[2006,5]]},"abstract":"<jats:p>We describe the design and experimental validation of a large heterogeneous mobile robot team built for the DARPA Software for Distributed Robotics (SDR) program. The core challenge for the SDR program was to develop a multi-robot system capable of carrying out a specific mission: to deploy a large number of robots into an unexplored building, map the building interior, detect and track intruders, and transmit all of the above information to a remote operator. To satisfy these requirements, we developed a heterogeneous robot team consisting of approximately 80 robots. We sketch the key technical elements of this team, focusing on the novel aspects, and present selected results from supervised experiments conducted in a 600 m 2 indoor environment.<\/jats:p>","DOI":"10.1177\/0278364906065378","type":"journal-article","created":{"date-parts":[[2006,5,9]],"date-time":"2006-05-09T07:45:09Z","timestamp":1147160709000},"page":"431-447","source":"Crossref","is-referenced-by-count":208,"title":["Experiments with a Large Heterogeneous Mobile Robot Team: Exploration,                 Mapping, Deployment and Detection"],"prefix":"10.1177","volume":"25","author":[{"given":"Andrew","family":"Howard","sequence":"first","affiliation":[{"name":"Robotics Research Laboratory, Department of Computer Science, University                         of Southern California,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lynne E.","family":"Parker","sequence":"additional","affiliation":[{"name":"Distributed Intelligence Laboratory, Department of Computer Science,                         University of Tennessee"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaurav S.","family":"Sukhatme","sequence":"additional","affiliation":[{"name":"Robotics Research Laboratory, Department of Computer Science, University                         of Southern California"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2006,5,1]]},"reference":[{"key":"atypb1","doi-asserted-by":"crossref","unstructured":"Balch, T. and Arkin, R. 1998. 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