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dc.contributor.authorAyanian, Nora
dc.contributor.authorSpielberg, Andrew
dc.contributor.authorArbesfeld, Matthew
dc.contributor.authorStrauss, Jason
dc.contributor.authorRus, Daniela L
dc.date.accessioned2021-01-08T16:13:13Z
dc.date.available2021-01-08T16:13:13Z
dc.date.issued2014-05
dc.identifier.issn1050-4729
dc.identifier.otherINSPEC Accession Number: 14616581
dc.identifier.urihttps://hdl.handle.net/1721.1/129348
dc.description.abstractWe present a novel end-to-end solution for distributed multirobot coordination that translates multitouch gestures into low-level control inputs for teams of robots. Highlighting the need for a holistic solution to the problem of scalable human control of multirobot teams, we present a novel control algorithm with provable guarantees on the robots' motion that lends itself well to input from modern tablet and smartphone interfaces. Concretely, we develop an iOS application in which the user is presented with a team of robots and a bounding box (prism). The user carefully translates and scales the prism in a virtual environment; these prism coordinates are wirelessly transferred to our server and then received as input to distributed onboard robot controllers. We develop a novel distributed multirobot control policy which provides guarantees on convergence to a goal with distance bounded linearly in the number of robots, and avoids interrobot collisions. This approach allows the human user to solve the cognitive tasks such as path planning, while leaving precise motion to the robots. Our system was tested in simulation and experiments, demonstrating its utility and effectiveness.en_US
dc.description.sponsorshipUnited States. Office of Naval Research. Multidisciplinary University Research Initiative. (ANTIDOTE N00014-09-1-1031)en_US
dc.description.sponsorshipUnited States. Office of Naval Research. Multidisciplinary University Research Initiative. (SMARTS N00014-09-1051)en_US
dc.description.sponsorshipBoeing Companyen_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttps://dx.doi.org/10.1109/ICRA.2014.6907088en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcewebsiteen_US
dc.titleControlling a team of robots with a single inputen_US
dc.typeArticleen_US
dc.identifier.citationAyanian, Nora, Andrew Spielberg, Matthew Arbesfeld, et al. "Controlling a team of robots with a single input." In 2014 IEEE International Conference on Robotics and Automation (ICRA), 31 May-7 June 2014, Hong Kong, China. © 2014 IEEE.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.relation.journalProceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2019-07-17T12:38:12Z
dspace.orderedauthorsAyanian, Nora; Spielberg, Andrew; Arbesfeld, Matthew; Strauss, Jason; Rus, Danielaen_US
dspace.date.submission2019-07-17T12:38:13Z
mit.metadata.statusComplete


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