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[NeurIPS 2025] Flow x RL. "ReinFlow: Fine-tuning Flow Policy with Online Reinforcement Learning". Support VLAs e.g., Pi0, Pi0.5, GR00TN1.5. Fully open-sourced.
[RSS 2026] LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
A cross-platform desktop All-in-One assistant for Claude Code, Codex, OpenCode, OpenClaw, Gemini CLI & Hermes Agent. Only official website: ccswitch.io
An all-in-one VLA engineering platform for embodied AI — from data to real-robot deployment.
[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"
Cosmos-Predict2.5, the latest version of the Cosmos World Foundation Models (WFMs) family, specialized for simulating and predicting the future state of the world in the form of video.
Cosmos-Predict2 is a collection of general-purpose world foundation models for Physical AI that can be fine-tuned into customized world models for downstream applications.
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
Benchmarking Knowledge Transfer in Lifelong Robot Learning
[ICCV 2025 Highlight] OminiControl: Minimal and Universal Control for Diffusion Transformer
A comprehensive list of papers about dual-system VLA models, including papers, codes, and related websites.
A Gaggia Classic control project using microcontrollers.
Open, modular controller platform for portafilter espresso machines
VLAC: A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
[ICLR2026] Official implementation for "JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation"
本项目围绕吴恩达老师在DeepLearning.AI出品的agent-skills-with-anthropic系列课程,为学习者打造中文翻译与知识整理教程。项目提供课程内容翻译、知识点梳理和示例代码解读等内容,欢迎大家Star!
Open-Source Dual-Arm Mobile Robot with Motorized Lift
"🐈 nanobot: The Ultra-Lightweight Personal AI Agent"
The agent that grows with you