Benchmarking Visual Temporal Progress for Data Curation

Data scarcity remains one of the most limiting factors in driving progress in robotics. While the volume of available robotics datasets has grown exponentially, curating high-quality data from these collections remains a significant challenge. OpenGVL introduces a comprehensive benchmark for estimating task progress across diverse manipulation tasks involving both robotic and human embodiments, enabling automated data curation and filtering at scale.

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• Freeman Irabaruta