google-deepmind / google-deepmind/mujoco_warp
Heterogeneous model setups support
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- Python
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Description
Are there any plans to support heterogeneous scenes, where you can swap grippers/objects across envs without having to recompile the model? It seems to be a big bottleneck in playground manipulation vision-based environments that heavily relies on augmentation for sim2real transfer. disabling constrains of unused objects through eq_active doesn't seem to be effective at scale (trying to augment 1,000+ objects).
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