Ultra-wideband Multi-sensor Fusion Robot Localization Technology 2026/09/29

Introductions

AMR navigation failures often occur when environments deviate significantly from original digital maps due to reflections, dynamic obstacles, or clutter. Localization errors among different AMRs result in inconsistent positional information, reducing the performance and efficiency of multi-robot collaborative localization and navigation.

Technical Advantages and Features

• Multi-sensor Hybrid Estimation: Fuses Ultra-wideband, VSLAM, and inertial sensor data to provide stable and accurate position estimation.
• Modular Real-time Localization: Features a modular design for easy integration with existing robots and provides real-time compensation for LiDAR measurement errors.
• Real-time Multi-robot Information Sharing: Shared sensor data enables GPS-like collaborative positioning, enhancing the localization stability of robot fleets.

Industrial Applications and Business Opportunities

• Industry Applications
  • Metal processing, electronics assembly, semiconductor, logistics and warehousing, healthcare, and commercial services.
• Application Examples
  • Validated at San Shing Fastech Corp. and Changhua Christian Hospital for complex environment localization, multi-robot dispatching, and autonomous delivery services.
  • Enables semiconductor automation by deploying wheeled AMRs for material transport and AI-enabled legged robots for sub-fab and cleanroom inspections, featuring scalable multi-robot integration.