Reborn Nest

Reborn Nest is the core platform powering the Reborn ecosystem. It functions as a full-stack operating system for embodied AI, integrating tools for data contribution, model development, and real-world deployment—all coordinated through a decentralized incentive system powered by Reborn points.

Whether you're a data contributor, AI developer, roboticist, or startup founder, Reborn Nest provides the infrastructure to create, share, and scale embodied intelligence collaboratively.

Reborn Nest represents not just a product—but the infrastructure layer for a new robotic era, where physical AI systems are built by and for the global community.

🌐 Reborn Product Matrix: The Open Ecosystem for Robotics

Reborn delivers an end-to-end ecosystem for embodied AI through three tightly integrated product lines that together power the future of intelligent robotics:

• Unified Data Platform: A globally distributed infrastructure that captures high-quality real-world and synthetic data via mocap wearables, VR interactions, mobile video, and the Roboverse simulation engine—feeding the foundation for scalable training.

• Open Model Ecosystem: A growing library of reusable embodied AI models—including OpenVLA, whole-body controllers, and dexterous manipulators—that can be deployed instantly or extended by developers through the Reborn Physical AI App Store.

• Physical Agents: Real-world robotic agents that evolve through three stages—copilot teleoperation, specialized model deployment, and generalized autonomy—forming a practical and data-driven path toward AGI-capable humanoid robots.

🚀 Key Components of Reborn Nest

Reborn Nest is the foundational platform that powers the entire embodied AI lifecycle—from global-scale data collection to real-world model deployment. It unites contributors, developers, and robotics companies into a seamless and scalable pipeline.

Data Contribution Interfaces Reborn provides multiple intuitive entry points for users to contribute diverse and high-quality data:

• Embodied Vlog App: A mobile-first tool enabling users to record first-person videos of everyday tasks, capturing natural human behavior and fine-grained manipulation.

• Mocap Life (Rebocap™): A lightweight, wearable motion capture system that records full-body joint trajectories during real or simulated interactions.

• VR Gaming Portal: Immersive games that generate hand-object interaction data from devices like the Vision Pro, turning gameplay into structured training data.

• Roboverse Simulation: A flexible simulation engine for synthetic data generation, used to train models in rare, difficult, or edge-case environments.

Data Processing & Curation Pipeline Once uploaded, all data is automatically cleaned, structured, and enriched:

• Keypoint and pose extraction for body and hand tracking

• Temporal segmentation to isolate task-specific episodes

• Metadata tagging to add contextual information

• Community-based validation, ensuring high-quality, labeled datasets across modalities

Physical AI Model Training & Evaluation Hub Developers can access a powerful training suite built for vertical and general-purpose model development:

• Train models for manipulation, whole-body control, and vision-language reasoning

• Use curated datasets from the Reborn data engine

• Evaluate models in Roboverse or on real robots via simulation-to-reality pipelines

• Compatible with both cloud-based and local training environments

Deployment Gateway To bring models to life, Reborn Nest includes an integrated deployment layer:

• Lightweight SDKs and APIs for embedding models into real robots

• Direct integration with commercial hardware platforms like Unitree and Booster

• Real-time inference and benchmarking in both simulated and physical environments