SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning

🚀🚀🚀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.

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

🔥 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"

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

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

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

🦾 A Dual-System VLA with System2 Thinking

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

📚这个仓库是在arxiv上收集的有关VLN，VLA, SLAM，Gaussian Splatting,非线性优化等相关论文。每天都会自动更新！issue区域是最新10篇论文

Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning

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

[CoRL 25] Code for FLOWER VLA for finetuning FLOWER on CALVIN and all LIBERO environments

This work investigates automatic hyperparameter tuning for planners such as DWA and TEB, and our navigation framework LE-Nav can be used to adjust hyperparameters of any optimization-based planner.

GPU Framework for Radio Astronomical Image Synthesis

CoRL25-"AimBot: A Simple Auxiliary Visual Cue to Enhance Spatial Awareness of Visuomotor Policies"

Official repo for From Intention to Execution: Probing the Generalization Boundaries of Vision-Language-Action Models

🌐 A curated collection of vision-language-action (VLA) models for autonomous driving applications