<p> Vision-based robots have been utilized for pick-and-place operations for their repeatability. Various vision-based autonomous pick and place approaches using machine learning techniques have been researched for more flexible and lightweight operations with a large dataset for training. there is rare research about human intervention for dataset. This research suggests two methods for pick-and-place with minimum human intervention </p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/20361885 |
| Date | 22 July 2024 |
| Creators | Jinho Park (55645) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/CNN-BASED_AUTONOMY_BIN-PICKING_PLATFORM_WITH_MINIMAL_HUMAN_INTERVENTION/20361885 |
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