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UR-VC: Unsupervised Robotic Value Correction for Time-Derived Progress Proxies

A new unsupervised learning method is proposed to improve the accuracy of progress signals in robotic task execution.

Impact
20/100
Current rank score
5.34
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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