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NVIDIA Isaac GR00T
Robot foundation-model resources for humanoid learning workflows.
Vision-language-action
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awesome latent action model · Albertchen98
Awesome Latent Action Model collects research on world models, VLA pretraining and latent action representations.
Overview
Awesome Latent Action Model collects research on world models, VLA pretraining and latent action representations.
Publisher summary: “A curated list of latent action model (LAM) papers: world models, VLA pretraining, and latent action representation learning”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Project information
- Maintainer
- Albertchen98
- Primary language
- Not specified
- Repository code license
- Not specified
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2026-07-24
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- Awesome Latent Action Models [](https://awesome.re)
- Tags
- Contents
- Surveys, Position Papers & Systematic Studies
- World Models & Interactive Video Generation
- Latent Action Pretraining for VLA & Robot Policies
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