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The use of interactive computer vision and robot hand controllers for enhancing manufacturing safetyCurrent available robotic systems provide limited support for CAD-based model-driven visualization, sensing algorithm development and integration, and automated graphical planning systems. This paper describes ongoing work which provides the functionality necessary to apply advanced robotics to automated manufacturing and assembly operations. An interface has been built which incorporates 6-DOF tactile manipulation, displays for three dimensional graphical models, and automated tracking functions which depend on automated machine vision. A set of tools for single and multiple focal plane sensor image processing and understanding has been demonstrated which utilizes object recognition models. The resulting tool will enable sensing and planning from computationally simple graphical objects. A synergistic interplay between human and operator vision is created from programmable feedback received from the controller. This approach can be used as the basis for implementing enhanced safety in automated robotics manufacturing, assembly, repair and inspection tasks in both ground and space applications. Thus, an interactive capability has been developed to match the modeled environment to the real task environment for safe and predictable task execution.
Document ID
19940025937
Acquisition Source
Headquarters
Document Type
Conference Paper
Authors
Marzwell, Neville I.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Jacobus, Charles J.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Peurach, Thomas M.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Mitchell, Brian T.
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
September 6, 2013
Publication Date
February 1, 1994
Publication Information
Publication: NASA, Washington, Technology 2003: The Fourth National Technology Transfer Conference and Exposition, Volume 1
Subject Category
Mechanical Engineering
Accession Number
94N30442
Funding Number(s)
CONTRACT_GRANT: NAS7-1189
Distribution Limits
Public
Copyright
Public Use Permitted.
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