How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
A collection of vision-language-action model post-training methods.
The main features of aoqunjin/awesome-vla-post-training are: Awesome List, Curated Research Lists, Research Surveys.
Projects with overlapping indexed features include: robotics-survey/awesome-robotics-foundation-models — This is the partner repository for the survey paper "Foundation Models in Robotics: Applications, Challenges, and the… dh-tech/awesome-digital-humanities — Software for humanities scholars using quantitative or computational methods. jupyter-naas/awesome-notebooks. keon/awesome-physical-ai — A curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models,… milkclouds/awesome-vla-study — A structured reading list on Vision-Language-Action (VLA) models — from diffusion/flow matching foundations through… silky/awesome-open-science — some links to projects/tools related to "open science".
This is the partner repository for the survey paper "Foundation Models in Robotics: Applications, Challenges, and the Future". The authors hope this repository can act as a quick reference for roboticists who wish to read the relevant papers and implement the associated methods. The organization…
A curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models, world models, embodied ai, and robotic foundation models.
Software for humanities scholars using quantitative or computational methods.
