vision-language-action

Mano-P: Open-source GUI-VLA agent for edge devices. #1 on OSWorld (specialized, 58.2%). Runs locally on Apple M4 Mac mini/MacBook — no data leaves your device.Mano-P 是一个开源 GUI-VLA 项目，支持在 Mac mini/MacBook 上或通过算力棒本地运行推理，实现纯视觉驱动的跨平台 GUI 自动化操作。数据完全本地处理，支持复杂多步骤任务规划与执行。

NVIDIA Alpamayo 1 Nano is an open 10B reasoning VLA model for autonomous vehicles that pairs driving trajectories with Chain-of-Causation reasoning.

[CVPR 2025] Open-source, End-to-end, Vision-Language-Action model for GUI Agent & Computer Use.

A curated collection of papers, explainers, and resources on World Action Models for embodied AI

[NeurIPS 2025] AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning

本项目旨在为致力于进入VLA(Vision-Language-Action)领域的算法工程师提供一份全中文、实战导向的学习/面试手册。 不同于通用的 CV/NLP 面试指南，本项目聚焦于 Robotics 特有的挑战

[ICLR 2026] ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving

[ICLR 2026] Towards Unified Latent VLA for Whole-body Loco-manipulation Control

An Open-World Foundation Model for General-Purpose Embodied Intelligence.

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

Open source evals for physical AI. Run any LLM/VLA on any arm/humanoid against any real/sim benchmark.

a minimal, beginner-friendly VLA to show how robot policies can fuse images, text, and states to generate actions

NVIDIA Alpamayo 1.5 Nano is an open 10B reasoning VLA model for autonomous vehicles with reinforcement-learning enhanced reasoning, navigation guidance, and visual question answering.

A unified framework for training, fine-tuning, and evaluating World Action Models

[CVPR 2025] The offical Implementation of "Universal Actions for Enhanced Embodied Foundation Models"

Curated embodied AI list: surveys, VLA models, datasets, simulators, humanoids, robot learning, and safety resources.

NVIDIA Alpamayo 2 Super is an open 34B multi-task foundation model designed to supercharge autonomous vehicle development.

✨✨Official implementation of BridgeVLA and BridgeVLA++

Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations

🔥 Data Pyramid for Embodied Manipulation: A Survey