{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T10:12:55Z","timestamp":1781086375572,"version":"3.54.1"},"reference-count":35,"publisher":"SAGE Publications","issue":"5-7","license":[{"start":{"date-parts":[[2017,2,9]],"date-time":"2017-02-09T00:00:00Z","timestamp":1486598400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["The International Journal of Robotics Research"],"published-print":{"date-parts":[[2017,6]]},"abstract":"<jats:p>In June 2015, the Defense Advanced Research Projects Agency (DARPA) Robotics Challenge (DRC) Finals were held in Pomona, California. The DRC Finals served as the third phase of the program designed to test the capabilities of semi-autonomous, remote humanoid robots to perform disaster response tasks with degraded communications. All competition teams were responsible for developing their own interaction method to control their robot. Of the 23 teams in the competition, 20 consented to participate in this study of human\u2013robot interaction (HRI). The evaluation team observed the consenting teams during task execution in their control rooms (with the operators), and all 23 teams were observed on the field during the public event (with the robot). A variety of data were collected both before the competition and on-site. Each participating team\u2019s interaction methods were distilled into a set of characteristics pertaining to the robot, operator strategies, control methods, and sensor fusion. Each task was decomposed into subtasks that were classified according to the complexity of the mobility and\/or manipulation actions being performed. Performance metrics were calculated regarding the number of task attempts, performance time, and critical incidents, which were then correlated to each team\u2019s interaction methods. The results of this analysis suggest that a combination of HRI characteristics, including balancing the capabilities of the operator with those of the robot and multiple sensor fusion instances with variable reference frames, positively impacted task performance. A set of guidelines for designing HRI with remote, semi-autonomous humanoid robots is proposed based on these results.<\/jats:p>","DOI":"10.1177\/0278364916688254","type":"journal-article","created":{"date-parts":[[2017,2,9]],"date-time":"2017-02-09T09:09:31Z","timestamp":1486631371000},"page":"483-513","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":48,"title":["Analysis of human\u2013robot interaction at the DARPA Robotics Challenge Finals"],"prefix":"10.1177","volume":"36","author":[{"given":"Adam","family":"Norton","sequence":"first","affiliation":[{"name":"New England Robotics Validation and Experimentation (NERVE) Center, University of Massachusetts Lowell, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Willard","family":"Ober","sequence":"additional","affiliation":[{"name":"Boston Engineering Corporation, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lisa","family":"Baraniecki","sequence":"additional","affiliation":[{"name":"AnthroTronix, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric","family":"McCann","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Massachusetts Lowell, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean","family":"Scholtz","sequence":"additional","affiliation":[{"name":"Pacific Northwest National Laboratory, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Shane","sequence":"additional","affiliation":[{"name":"Boston Engineering Corporation, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Skinner","sequence":"additional","affiliation":[{"name":"AnthroTronix, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Watson","sequence":"additional","affiliation":[{"name":"Boston Engineering Corporation, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Holly","family":"Yanco","sequence":"additional","affiliation":[{"name":"Computer Science Department, University of Massachusetts Lowell, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2017,2,9]]},"reference":[{"key":"bibr1-0278364916688254","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2015.2448871"},{"key":"bibr2-0278364916688254","doi-asserted-by":"publisher","DOI":"10.1109\/TOH.2012.53"},{"key":"bibr3-0278364916688254","doi-asserted-by":"crossref","unstructured":"Burke JL (2004) Moonlight in Miami: A field study of human-robot interaction in the context of an urban search and rescue disaster response training exercise. 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