🚀 XRZero-G0: Pushing the Frontier of Dexterous Robotic Manipulation with Interfaces, Quality and Ratios

XRZero-G0 is a hardware-software co-designed framework for scalable, high-fidelity, and ergonomic robot-free data collection. By systematically addressing the "quality black-box" and establishing empirical Data Mixing Laws, XRZero-G0 achieves performance comparable to purely real-robot datasets at 1/20th of the acquisition cost.

Figure 1: XRZero-G0 enables scalable robot-free data collection and cross-embodiment policy transfer.

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✨ Highlights

• 🕹️ Ergonomic Decoupled Interface
• 🛡️ Closed-Loop Quality Verification
• ⚖️ Empirical Data-Mixing Laws
• 🌍 Zero-Shot Cross-Embodiment

📦 The G0-Dataset

Using the XRZero-G0 framework, we have collected one of the most comprehensive human-centric embodied datasets to date.

• Scale: High-fidelity, multi-modal data.
• Diversity: 3,000 distinct manipulation tasks following a pronounced long-tail distribution (from fundamental operations to fine-grained semantic tasks).
• Throughput: Operators achieved a peak collection speed of up to 93.2 episodes per hour.