Show simple item record

dc.contributor.authorGilpin, Kyle W.
dc.contributor.authorRus, Daniela L.
dc.date.accessioned2014-10-09T17:54:02Z
dc.date.available2014-10-09T17:54:02Z
dc.date.issued2012-05
dc.identifier.isbn978-1-4673-1405-3
dc.identifier.isbn978-1-4673-1403-9
dc.identifier.isbn978-1-4673-1578-4
dc.identifier.isbn978-1-4673-1404-6
dc.identifier.issn1050-4729
dc.identifier.urihttp://hdl.handle.net/1721.1/90842
dc.description.abstractWe present our digital fabrication technique for manufacturing active objects in 2D from a collection of smart particles. Given a passive model of the object to be formed, we envision submerging this original in a vat of smart particles, executing the new shape duplication algorithm described in this paper, and then brushing aside any extra modules to reveal both the original object and an exact copy, side-by-side. Extensions to the duplication algorithm can be used to create a magnified version of the original or multiple copies of the model object. Our novel duplication algorithm uses a distributed approach to identify the geometric specification of the object being duplicated and then forms the duplicate from spare modules in the vicinity of the original. This paper details the duplication algorithm and the features that make it robust to (1) an imperfect packing of the modules around the original object; (2) missing communication links between neighboring modules; and (3) missing modules in the vicinity of the duplicate object(s). We show that the algorithm requires O(1) storage space per module and that the algorithm exchanges O(n) messages per module. Finally, we present experimental results from 60 hardware trials and 150 simulations. These experiments demonstrate the algorithm working correctly and reliably despite broken communication links and missing modules.en_US
dc.description.sponsorshipUnited States. Army Research Office (Grant W911NF-08-1-0228)en_US
dc.description.sponsorshipNational Science Foundation (U.S.). Office of Emerging Frontiers in Research and Innovation (Grant 0735953)en_US
dc.description.sponsorshipAmerican Society for Engineering Education. National Defense Science and Engineering Graduate Fellowshipen_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ICRA.2012.6225227en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleA distributed algorithm for 2D shape duplication with smart pebble robotsen_US
dc.typeArticleen_US
dc.identifier.citationGilpin, Kyle, and Daniela Rus. “A Distributed Algorithm for 2D Shape Duplication with Smart Pebble Robots.” 2012 IEEE International Conference on Robotics and Automation (May 2012).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. School of Engineeringen_US
dc.contributor.mitauthorGilpin, Kyle W.en_US
dc.contributor.mitauthorRus, Daniela L.en_US
dc.relation.journalProceedings of the 2012 IEEE International Conference on Robotics and Automationen_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
dspace.orderedauthorsGilpin, Kyle; Rus, Danielaen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-5473-3566
dc.identifier.orcidhttps://orcid.org/0000-0002-9034-2340
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record