Spatial intelligence for autonomous systems
The dense volumetric foundation that autonomous systems use to navigate complex, unstructured environments with absolute certainty.
Where Dense Mapping Makes the Difference
Different mapping approaches serve different needs.
Volumetric density is essential for safe, reliable autonomy.
Cluttered Environments
Warehouses, factories, and homes are filled with thin obstacles—cables, chair legs, furniture edges—that can be overlooked by sparse feature tracking.
Dense volumetric mapping captures the complete 3D geometry of every obstacle, enabling safer navigation in complex real-world spaces.
Reflective & Transparent Surfaces
Glass walls, mirrors, and water create visual ambiguities that confuse feature-based matching algorithms.
Volumetric depth integration works directly with distance measurements, handling challenging surfaces where visual features fail.
Long-Duration Missions
Extended operation causes accumulated drift that degrades map quality over time, requiring manual resets or recalibration.
Global pose-graph optimization continuously corrects drift, maintaining consistent maps across hours or days of operation.
Three pillars of spatial intelligence
Continuous Volumetric State
Navigation that never resets. Drift-corrected pose graph optimization maintains spatial awareness indefinitely.
Dense 3D Geometry
Maps that catch everything. GPU-accelerated TSDF/ESDF generation captures the chair leg, the hanging cable, and the glass wall.
Context-Aware Streaming
Intelligence that scales. Dynamic map swapping and ROI loading for bandwidth efficiency without blindness.
// Query distance to nearest surface
const distance = shinro.esdf.query(position);
// Returns: 0.42m to nearest obstacleRequest early access
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