StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

[ICLR 2026] SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

[RSS 2025] Learning to Act Anywhere with Task-centric Latent Actions

A Pragmatic VLA Foundation Model

Dexbotic: Open-Source Vision-Language-Action Toolbox

🚀🚀🚀A collection of some awesome public projects about Large Language Model(LLM), Vision Language Model(VLM), Vision Language Action(VLA), AI Generated Content(AIGC), the related Datasets and Applications.

InternRobotics' open platform for building generalized navigation foundation models.

[NeurIPS 2025 spotlight] Official implementation for "FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving"

🔥 SpatialVLA: a spatial-enhanced vision-language-action model that is trained on 1.1 Million real robot episodes. Accepted at RSS 2025.

Unified Codebase for Advanced World Models.

[ICLR2026] Official implementation for "JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation"

DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models

Running VLA at 30Hz frame rate and 480Hz trajectory frequency

VLA-0: Building State-of-the-Art VLAs with Zero Modification

[CVPR 2025, Spotlight] SimLingo (CarLLava): Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment

🌐 Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future

Control AI robots. Community-driven UI middleware for controlling robots, recording datasets, training action models. Compatible with SO-100 and SO-101

EO: Open-source Unified Embodied Foundation Model Series

[CVPR 2026] WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving

CLI for Physical AI Skill Models