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AI CLUSTERED EVENT · 10/14/2026

SeePhys Hub Launches: Fusing Sparse Nodes and Haptics to Restore Full-Body Motion in Ego Data

1 reports archived1 independent sourcesupdated 10/14/2026, 12:51:32
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Poxiao Intelligence launched SeePhys Hub, a full-body multimodal data collection system designed to address the lack of whole-body pose and haptic information in first-person (Ego) data. By integrating quad-camera headsets, wrist cameras, and sparse trackers on the waist and legs with IMU and UWB technology, the system restores full-body motion and optionally records contact pressure via haptic gloves. This approach retains the scalability of Ego data while providing high-fidelity training inputs involving body coordination and physical interaction for embodied AI models.

LATEST/Poxiao Intelligence launched SeePhys Hub, a full-body multimodal data collection system designed to address the lack of whole-body pose and haptic information in first-person (Ego) data. By integrating quad-camera headsets, wrist cameras, and sparse trackers on the waist and legs with IMU and UWB technology, the system restores full-body motion and optionally records contact pressure via haptic gloves. This approach retains the scalability of Ego data while providing high-fidelity training inputs involving body coordination and physical interaction for embodied AI models.

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TIMELINECoverage timeline

Total 1 reports · Latest first
  1. 量子位官网T2·68 pts
    • Traditional Ego data fails to fully capture body states and contact forces during whole-body tasks like bending or walking.
    • SeePhys Hub uses a sparse node scheme, leveraging head vision, wrist info, and waist/leg trackers to algorithmically restore full-body poses.
    • The system integrates IMU and UWB signals for motion and ranging, combined with optional haptic gloves, enabling synchronized capture of vision, motion, and touch.
SeePhys Hub Launches: Fusing Sparse Nodes and Haptics to Restore Full-Body Motion in Ego Data | Today for AI