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A collection of vision-language-action model post-training methods.

196
GitHub Stars
203
Curated Resources
6
Categories
4 hours ago
Last Refreshed
:star: Notable Works:earth_asia: Enhancing Environmental Perception:brain: Improving Embodiment Awareness:memo: Deepening Task Comprehension:wrench: Multiple Component Integration:clipboard: Survey

Use this list with your AI agent

Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:

"Show me affordance-guided learning resources from awesome-vla-post-training"

Installation instructions →

What's inside

Resources

:star: Notable Works

:earth_asia: Enhancing Environmental Perception

  • PaperAffordance-Guided Learning

  • PaperAffordance-Guided Learning

  • PaperAffordance-Guided Learning

  • PaperAffordance-Guided Learning

  • PaperAffordance-Guided Learning

  • PaperAffordance-Guided Learning

:wrench: Multiple Component Integration

  • PaperVisual Interaction Prediction

  • PaperReinforcement Learning

  • PaperReinforcement Learning

  • PaperVisual Interaction Prediction

  • PaperActive Dataset Processing

  • PaperReinforcement Learning

:brain: Improving Embodiment Awareness

  • PaperAction Head Designing

  • PaperForward and Inverse kinematics learning

  • PaperAction Head Designing

  • PaperAction Head Designing

  • PaperAction Head Designing

  • PaperAction Head Designing

:memo: Deepening Task Comprehension

  • PaperHuman–Robot-Interaction

  • PaperHierarchical Task Manipulation

  • PaperHuman–Robot-Interaction

  • PaperHuman–Robot-Interaction

  • PaperHierarchical Task Manipulation

  • PaperHierarchical Task Manipulation

Showing a sample of 203 resources. View the full list on GitHub →