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IDEAS-Lab-Northwestern/gr00t-n16-real-clutter-60-refined
gr00t-n16-real-clutter-60-refined is a robotics model from IDEAS-Lab-Northwestern. Use it for the robotics task on the model card, and read the license before you ship it in a product. The card lists the license as other.
NVIDIA Isaac GR00T-N1.6-3B fine-tuned on the ManiGuard real-clutter base task (real Franka Panda, DROID-schema teleop). Part of the ManiGuard VLA benchmark - GR00T vs pi0.5 on the same task families with identical dat…
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How the weights are stored.
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From the Hugging Face model README
NVIDIA Isaac GR00T-N1.6-3B fine-tuned on the ManiGuard real-clutter base task (real Franka Panda, DROID-schema teleop). Part of the ManiGuard VLA benchmark - GR00T vs pi0.5 on the same task families with identical data, cameras, and controller.
Load with Gr00tPolicy from Isaac-GR00T (n1d6), --embodiment-tag NEW_EMBODIMENT. The included processor/ carries the normalization stats + modality config.
WARNING - Convention (must match at eval): the policy emits joint VELOCITY in rad/s - the client must apply
delta = action / 15with NO clip, and must send 16:9 centre-cropped frames (the crop is baked into the training data), from 2 cameras (exterior_image_1_left + wrist_image_left). A mismatched controller or camera set silently feeds an out-of-distribution input.
Part of ManiGuard: paper (arXiv:2608.17386) · code · docs
@misc{peng2026maniguard,
title = {{MANIGUARD}: A Benchmark and Data Suite for Specification-Grounded
Safety Evaluation and Improvement of Robotic Manipulation},
author = {Peng, Yiyan and Wang, Philip and Zhan, Simon Sinong and Lyu, Yiqi
and Ni, Zhenyang and Yan, Jixin and Wong, Fiorelli and Jiao, Ruochen
and Yin, Hang and Cao, Xinyu and Shao, Huajie and Li, Manling
and Zhang, Ruohan and Zhu, Qi},
year = {2026},
eprint = {2608.17386},
archivePrefix = {arXiv},
primaryClass = {cs.RO},
url = {https://arxiv.org/abs/2608.17386},
}