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dc.contributor.authorDietrich, Jason
dc.contributor.authorPowers, Jeffery
dc.contributor.authorWintermute, Sam
dc.date.accessioned2008-12-12T19:24:11Z
dc.date.available2008-12-12T19:24:11Z
dc.date.issued2007-04
dc.identifier.urihttps://hdl.handle.net/2027.42/61375
dc.descriptionVideos of the Blimps in action.en
dc.description.abstractWe propose to simulate complex system behavior similar to the schooling of fish, the flocking of birds, or the backup of a traffic jam, using a flock of computer-controlled indoor Microblimps. Several webcams and computers implementing a Scale-Invariant Feature-Transform (SIFT) algorithm will track the blimps, and their motion will be automatically controlled via radio. The parameters dictating the interactions of these "BlimpBots" will be modifiable by participants. By documenting the process and making available our algorithms, the project can be exported as a learning aid that provides a visceral demonstration of the often difficult-to-visualize concept of how small changes in a complex system can have a large transformational impact on the system as a whole.en
dc.description.sponsorshipGROCS: GRant Opportunities [collaborative spaces], a Digital Media Commons program to fund student research on the use of rich media in collaborative learning.en
dc.format.extent89502432 bytes
dc.format.extent146185112 bytes
dc.format.extent120091136 bytes
dc.format.mimetypevideo/quicktime
dc.format.mimetypevideo/quicktime
dc.format.mimetypevideo/mpeg
dc.titleBlimpbotsen
dc.title.alternativeFInal Products of the Blimpbots Projecten
dc.typeVideoen
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/61375/3/LadyBugEscape.mov
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/61375/2/FIne_Cut.mov
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/61375/1/circuit_assembly.avi
dc.owningcollnameGROCS: GRant Opportunities[Collaborative Spaces]


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