InternDataEngine
InternDataEngine: Pioneering High-Fidelity Synthetic Data Generator for Robotic Manipulation
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InternDataEngine is a synthetic data generation engine for embodied AI that powers large-scale model training and iteration. Built on NVIDIA Isaac Sim, it unifies high-fidelity physical interaction from InternData-A1, semantic task and scene generation from InternData-M1, and high-throughput scheduling from the Nimbus framework to deliver realistic, task-aligned, and massively scalable robotic manipulation data.
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- Stars
- 137
- Forks
- 6
- License
- Not stated
- Last commit
- 7 months ago
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Intern Robotics
Building inclusive infrastructure for Embodied AI, from Shanghai AI Lab
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