Researchers have developed UMI-Live, an open-source system designed for collecting bimanual robotics data in real-world environments. This system integrates various sensors like cameras and LiDAR, along with onboard computing, eliminating the need for external tracking or calibration. UMI-Live processes data asynchronously to create ready-to-use datasets for robot learning. The system's effectiveness was demonstrated by fine-tuning two models, $\pi_{0.5}$ and MolmoAct2, which achieved high success rates on a bimanual pick-and-place task. AI
IMPACT This system could accelerate robot learning by simplifying the collection of diverse, real-world bimanual manipulation data.
RANK_REASON The cluster describes a new open-source system for robotics data collection detailed in an arXiv paper.
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- arXiv
- MolmoAct2
- $\\pi_{0.5}$
- Simultaneous localization and mapping
- UMI-Live
- Universal Manipulation Interface
- Ursa Minor
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