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NexusDwin/ee26_east_end_effectors
ee26_east_end_effectors is a robotics model from NexusDwin. Use it for the robotics task on the model card, and read the license before you ship it in a product. It is set up for lerobot. The card lists the license as apache-2.0.
Trained policies for the C1 peg-insertion task on a Franka Emika Panda (Intel Industrial Robotics Arm Challenge). Each subfolder is a final, train-ready LeRobot policy (20k steps). Policy IO: observation.state = [8] (…
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Updated Jun 26, 2026
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From the Hugging Face model README
Trained policies for the C1 peg-insertion task on a Franka Emika Panda
(Intel Industrial Robotics Arm Challenge). Each subfolder is a final, train-ready
LeRobot policy (20k steps). Policy IO: observation.state = [8] (7 joints + gripper
width), action = [8] (7 joint positions + gripper).
| Folder | Policy | Dataset | Notes |
|---|---|---|---|
pi0/ | Pi0 | c1_insertion_merged | π0 flow-matching policy, ~8.9 GB |
smolvla_merged/ | SmolVLA | c1_insertion_merged | SmolVLA on the merged dataset |
smolvla/ | SmolVLA | c1_insertion | SmolVLA on the original dataset |
Each folder contains model.safetensors, config.json, train_config.json, and
the LeRobot pre/post-processor (normalizer) files.
from lerobot.policies.factory import make_policy # or the policy-specific class
# e.g. SmolVLAPolicy.from_pretrained("NexusDwin/ee26_east_end_effectors", ...)