Embedded vision equipment of industrial robot for inline detection of product errors by clustering–classification algorithms

The article deals with the design of embedded vision equipment of industrial robots for inline diagnosis of product error during manipulation process. The vision equipment can be attached to the end effector of robots or manipulators, and it provides an image snapshot of part surface before grasp, s...

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Bibliographic Details
Published in:International journal of advanced robotic systems 2016-10, Vol.13 (5)
Main Authors: Zidek, Kamil, Maxim, Vladislav, Pitel, Jan, Hosovsky, Alexander
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Automation
Classification
Cluster analysis
Clustering
Data mining
Datasets
Density
Diagnosis
Embedded systems
End effectors
Experiments
Image acquisition
Image manipulation
Industrial robots
Libraries
Machine learning
Methods
Network reliability
Neural networks
Parameterization
Product quality
R&D
Research & development
Robot arms
Robots
Statistical analysis
Support vector machines
System on chip
Systematic errors
Teaching
Teaching machines
Usability
Vision systems
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