Automated procedural error detection in human-robot collaborative assembly using vision-based template matching
In collaborative human-robot assembly, robust error identification is paramount for ensuring process integrity and safety, particularly in the post task phase where a comprehensive analysis provides an opportunity to identify subtle and cumulative errors that may have been missed in real-time. Tradi...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/31456921.v1 |
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