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Computer
Article
Data sources: UnpayWall
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Computer
Article . 1989 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
https://doi.org/10.1117/12.947...
Article . 1988 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1989
Data sources: DBLP
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A vision system for robotic inspection and manipulation

Authors: Mohan M. Trivedi; ChuXin Chen; Suresh B. Marapane;

A vision system for robotic inspection and manipulation

Abstract

New generation of robotic systems will operate in complex, unstructured environments of industrial plants utilizing sophisticated sensory mechanisms. In this paper we consider development of autonomous robotic systems for various inspection and manipulation tasks associated with advanced nuclear power plants. Our approach in the development of the robotic system is to utilize an array of sensors capable of sensing the robot's environment in several sensory modalities. One of the most important sensor modality utilized is that of vision. We describe the development of a model-based vision system for performing a number of inspection and manipulation tasks. The system is designed and tested using a laboratory based test panel. A number of analog and digital meters and a variety of switches, valves and controls are mounted on the panel. The paper presents details of system design and development and a series of experiments performed to evaluate capabilities of the vision system.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Average
Top 10%
Top 10%
bronze