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Paper Review | RoboAgent
- RoboAgent claims to have beaten Google Deepmind Robotics RT1 and performed on the same level as RT2.
- Project goal: Achieve generalization by training a single robot to manipulate arbitrary objects in various settings.
- Problem: Acquiring training data is expensive, and existing data is proprietary.
- Proposed solution: MT-ACT framework consisting of semantic augmentations, action representations, and action commands.
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