Vision assisted SCARA (selective compliance assembly robot arm)
1997
- 10Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage10
- Abstract Views10
Thesis / Dissertation Description
The study presents a Vision Assisted SCARA. The vision system uses a back propagation neural network to identify and locate seven geometric objects. This information is then used to direct the SCARA robot to pick the objects and place the objects in pre-assigned bins. The neural net was trained to recognize with invariance to location and orientation. Recognition accuracy is 100 percent and the point accuracy of the robot is also 100 percent within a 1 mm tolerance.
Bibliographic Details
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