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

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

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

Dexbotic: Open-Source Vision-Language-Action Toolbox

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

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

[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

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

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

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

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

CLI for Physical AI Skill Training

[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., pi0, pi0.5. Fully open-sourced.

1st place solution of 2025 BEHAVIOR Challenge

[ICLR'25] LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

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

Unified Codebase for Advanced World Models.

WAM-Diff: A Masked Diffusion VLA Framework with MoE and Online Reinforcement Learning for Autonomous Driving

[ICLR 2026] Code of "MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation"