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RDF description of Efficient camera-space manipulation using moments - http://orbis.uaslp.mx/vivo/individual/scopus8533
rights: termsOfUse
date: 2026-08-27T06:59:21
publisher: vivo
type: Document

Article
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Proceedings - IEEE International Conference on Robotics and Automation
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publication venue for: Efficient camera-space manipulation using moments
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type: Information Content Entity
type: Proceedings

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Efficient camera-space manipulation using moments
estado: published
related by: authorship_55362
most specific type: Document
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freetext keyword: Camera space manipulation; Extended Kalman filter; Calculations; Cameras; Computer vision; Estimation; Image analysis; Mathematical models; Robots; Robustness (control systems); Three dimensional; Manipulators
type: Document
has publication venue: Proceedings - IEEE International Conference on Robotics and Automation
type: Generically Dependent Continuant
crisid: 8534
page start: 3407
page end: 3412
type: Continuant
origen: scopus
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type: Information Content Entity
type: Article
abstract: The paper introduces a new estimation approach to the method of camera-space manipulation - a robust and precise means of controlling 3-dimensional robot maneuvers using vision. This approach reduces the computational and memory burden required by the formerly used %27batch%27 estimation approach while retaining identical results. The discussion includes actual experimental results wherein reliable, millimeter positioning precision with a 3-dimensional, rigid-body task is achieved using a very large GMF S400 robot.
type: Conference Paper
abstract: The paper introduces a new estimation approach to the method of camera-space manipulation - a robust and precise means of controlling 3-dimensional robot maneuvers using vision. This approach reduces the computational and memory burden required by the formerly used 'batch' estimation approach while retaining identical results. The discussion includes actual experimental results wherein reliable, millimeter positioning precision with a 3-dimensional, rigid-body task is achieved using a very large GMF S400 robot.
related by: authorship_55363
date time value: conference paper date 8534
EI dscopus: 2-s2.0-0029722434
most specific type: Conference Paper
volume: 4

Conference Paper
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