Adapted checkpoints for the EgoTouch Table 1 protocol. The model folder follows the layout used by MIT-Media-Lab/vla-hand-baselines.
Organization
MIT-media-lab-tactile-vla-hand
MIT-Media-Lab
Models in Library2
Datasets in Library0
Models on Hugging Face4
Followers4
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This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Robotics.
Reported licenses: other. Open a record to review its specific license and conditions.
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Models
Checkpoints of the two external baselines trained against V4 in the VLA-HAND project. Both were trained and tested on the same three domains (GigaHands, OakInk2, TACO), splits, normalisation statistics and test protocol as V4. Each is the checkpoint with the lowest validation loss, the one all reported test numbers come from. Test split, the first 8 control steps of each test window, three domains pooled. Wrist translation in cm, wrist rotation in degrees (geodesic), fingers in cm; lower is better. VITRA predicts joint angles, so its finger error is measured after MANO forward kinematics and includes an FK floor that SmolVLA does not have. The finger columns are not directly comparable.…