ManiGuard: Evaluated VLA Checkpoints
Collection
Every checkpoint behind the paper's rollout evaluations: 4 SFT policies × 6 families, with the scaling / prompt-format / sim-to-real studies. • 54 items • Updated • 1
NVIDIA Isaac GR00T-N1.6-3B fine-tuned on the ManiGuard stack base task (sim Franka Panda). 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): joint-space JointController (absolute joint targets, NON_EEF) + 2 cameras (image_left overview + wrist). 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},
}
Base model
nvidia/GR00T-N1.6-3B