Make the Real World the Starting Point for Machine Intelligence
Explore astralive core technologies, product capabilities, and industry practice, and see how high-quality data drives next-generation robot intelligence.
2026.07.10 v.1.0
High-quality data determines the ceiling of embodied intelligence
Embodied intelligence is entering a new stage where data quality determines model capability.
Unlike internet data, the real-world data required for robot learning is highly complex and diverse. It must capture visual information, spatial relationships, motion trajectories, and physical interaction processes. Turning raw capture data into accurate, structured, trainable data assets has become a core challenge for scaling embodied intelligence.
astralive builds a complete technical system around embodied intelligence data, creating end-to-end infrastructure from data capture and intelligent processing to data asset construction. Through self-developed multimodal capture devices, intelligent data processing engines, and data product systems, astralive transforms real-world experience into machine intelligence capabilities.
EgoKit: Embodied Data Capture System
EgoKit is a high-precision multimodal data capture system built by astralive for embodied intelligence. By combining vision, touch, and pose sensing, it captures human operation processes in the real world and provides high-quality, generalizable data foundations for robot learning.
Vision-Tactile multimodal synchronization
Fuses vision, touch, pose, and other multisource signals for millisecond-level, high-precision temporal alignment.
High-precision spatial modeling
Uses V-SLAM and multi-view calibration to reconstruct real environments and keep coordinates consistent.
Unified multi-view space
Builds a unified 3D coordinate system for vision, touch, and motion trajectories to support fine-grained embodied data generation.
HBR Engine: High-precision Pose Annotation Engine
HBR Engine is an automated data processing platform for embodied intelligence. Through automatic cleaning and de-identification, intelligent annotation, and quality evaluation, it turns raw real-world vision, tactile, pose, and related data into high-precision trainable data assets.
Core technology: High-precision 3D hand-pose estimation and annotation under complex occlusion
Backed by top-tier academic research and leading visual algorithms, astralive builds high-precision 3D hand-pose perception for complex real-world interaction scenarios:
Robust estimation under complex occlusion
Supports real in-the-wild data capture:
High speed and low light, down to 0.1 lux
Image noise, deep holes, and motion blur
Robust without drift, with high recognition validity
True 3D spatial coordinates with industry-leading millimeter-level pose estimation
Vision-tactile multimodal fusion with support for varied hand textures and gloves
Vision-Tactile Fusion Technology
By combining RGB vision, IMU inertial signals, and tactile glove data, this technology synchronizes and coordinates visual, motion, and contact information across time and space. Multimodal fusion precisely captures spatial position, motion state, and contact feedback during operations, giving embodied intelligence models more complete and higher-precision real-world interaction data.
AstraData: Data Products and Training Sets
Built on real-world multimodal data capture and HBR Engine intelligent processing, AstraData creates high-quality embodied intelligence datasets covering vision, touch, hand pose, and other multimodal signals. After automated processing and strict quality validation, the data can be used directly for model training, algorithm evaluation, and research.
