kaiwen22026MIT
RoboMME no-VQA Stage-A baseline checkpoints
Final converged checkpoints for the no-VQA Stage-A baseline ablation of RoboMME, including models for place, height, hvlv, and contact tasks with configuration and dataset statistics.
Downloads38
Why This Matters for Physical AI
These baseline checkpoints enable reproducible evaluation and ablation studies on multimodal robotic learning without visual question-answering components.
Technical Profile
- Task Types
- placeheighthvlvcontact
- Data Format
- PyTorch
- License
- MIT
Access
Need custom physical AI data?
Claru builds purpose-built datasets for any environment applications with dense human annotations and quality assurance.
Request a Sample Pack