Ant Group Launches Open-AoE Framework for Embodied Intelligence Data Collection
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- leaderobot.com
Ant Group, in collaboration with several universities and research institutions, has introduced the Open-AoE framework aimed at enhancing embodied intelligence data collection. This initiative addresses the scarcity of high-quality 3D operational data necessary for training robots, which often rely on limited and standardized datasets from controlled environments.
The Open-AoE framework plans to release approximately 2,000 hours of first-person human operation data collected using consumer smartphones. Currently, around 100 hours of this data is accessible, with the remainder set to be released in batches by July 30. Alongside the data, a comprehensive toolchain for data visualization, 4D reconstruction, and model training format conversion will also be made available to the community.
The significance of this initiative lies in its potential to democratize data collection, allowing ordinary users to contribute valuable training data through their smartphones. Initial experiments have shown promising results, with the integration of smartphone-collected data significantly improving the performance of robotic tasks, indicating that such data can indeed enhance model training effectiveness.
Original report
Ant Group Unveils Open-AoE Framework for Embodied Intelligence Data
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