Repository
Research
NVIDIA Isaac GR00T
Robot foundation-model resources for humanoid learning workflows.
Vision-language-action
Models / Research
InternVLA M1 · InternRobotics
InternVLA-M1 provides a spatially guided vision-language-action framework for robot policies.
Overview
InternVLA-M1 provides a spatially guided vision-language-action framework for robot policies.
Publisher summary: “InternVLA-M1: A Spatially Guided Vision-Language-Action Framework for Generalist Robot Policy”
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
- InternRobotics
- Primary language
- Python
- Repository code license
- MIT
- 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
- 2026-02-11
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- InternVLA-M1
- 🔥 Key Features
- 🎯 Target Audience
- 📊 Experimental Results
- 🚀 Quick Start
- 🛠 Environment Setup
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