# Reborn App Store ### 🌐 The Physical AI App Store #### One-Click Deploy, Extend, and Share Have you ever bought a humanoid robot—like the **Unitree G1** or **Booster K1**—and realized… it can walk, maybe wave, but that's about it? Unless you're an expert in reinforcement learning or motion control, building new behaviors for these robots is nearly impossible. They can be remote-controlled, but they **lack real intelligence**, and definitely can't do "cool things" like backflips, yoga, or pick up a tool and use it on command. That’s where the **Reborn Physical AI App Store** comes in. We’ve partnered deeply with leading humanoid robot manufacturers to **open their APIs** and make them programmable via AI models—no hardcore robotics background required. Through Reborn Nest, anyone can **browse a library of pre-trained robotic models**, select one, and **deploy it to their robot with a single click**. Want your G1 to respond to voice commands? Try our **OpenVLA model**.\ Want it to walk across uneven terrain or mimic your yoga poses? Deploy our **Whole-Body Controller**.\ Need it to pick up a random object and place it elsewhere? Use our **Pick-and-Place Planner**. #### 🛠️ For Developers: Build the Future of Robot Intelligence And it doesn’t stop there. Developers can **build and submit their own models** to the store. Whether you're designing a novel hand manipulation policy, an object retrieval pipeline, or a dancing pose controller—your model can be published, used, and monetized inside the app store. We provide: * Access to **training datasets**, including mocap and egocentric video * A cloud-ready **training stack** and Roboverse simulator * Evaluation pipelines and deployment SDKs * Exposure to a fast-growing market of robot users Imagine it like the **App Store for iPhones**, but for physical robots. Just as apps unlocked the potential of smartphones, **AI models will unlock the real intelligence of robots**—and Reborn is building the ecosystem to make that happen. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://home.reborn-ai.xyz/products/open-model-ecosystem/reborn-app-store.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.