Spatial intelligence for autonomous systems
Cooperative infrastructure for machines that move.
Built for Real-World Complexity
Shinro Studio enables you to handle environments that challenge traditional approaches.
Complex Spaces
Warehouses, factories, and disaster zones are filled with obstacles, debris, cables, and unstable structures.
Complete spatial awareness captures the geometry of every obstacle, enabling safer navigation in real-world spaces.
Multi-Sensor Fusion
No single sensor handles every situation. Cameras struggle in darkness, LiDAR misses glass.
Combine cameras, LiDAR, and depth sensors into a unified perception system. Each sensor compensates for the others.
Always-On Operations
Extended operation without human intervention requires consistent performance. Drift and resets disrupt workflows.
Continuous drift correction maintains consistent maps across hours or days of operation without manual resets.
Shinro Studio
Your visual development environment for autonomous systems.
The Viewport
See what your system sees. A high-fidelity 3D visualization with toggleable layers: raw sensor data, safe zones, and semantic objects.
The Flow Editor
Wire up intelligence visually. Drag sensor inputs to processing nodes to action outputs. Double-click any node to write custom code.
Hardware Abstraction
Plug in your sensors. They just work. Standardized data layout means your logic runs on any hardware without rewriting drivers.
Build autonomous systems that see, think, and move as one.
Spatial intelligence for every domain.
Warehouse Automation
Navigate cluttered aisles and dynamic inventory without downtime.
Aerial Systems
Coordinate drones across urban environments in real time.
Autonomous Vehicles
Navigate roads and off-road terrain with complete scene understanding.
Underwater Systems
Map subsea environments where GPS fails and visibility is limited.
From Idea to Production
Five steps from concept to deployment.
Drag nodes to canvas. Your system moves.
Write C++ or Python in any node.
Wrap logic into a reusable node.
Simulate in the Viewport.
Sync to onboard hardware.
Drag nodes to canvas. Your system moves.
Write C++ or Python in any node.
Wrap logic into a reusable node.
Simulate in the Viewport.
Sync to onboard hardware.
Example Nodes
Real capabilities. Ready to deploy.
CrackDetector
Civil infrastructure. Analyze voxel surfaces for structural damage.
// const cracks = this.analyzeSurface(voxels);PersonAvoidance
Safety compliance. Detect humans and pause operations automatically.
// if (humans.length > 0) return { action: 'pause' };CropAnalysis
Agricultural automation. Map field health and coordinate equipment.
// const health = this.analyzeVegetation(region);// Inside a custom CrackDetector node
class CrackDetector extends ShinroNode {
process(input) {
const voxels = input.map.getVoxelsInFront();
const cracks = this.analyzeSurface(voxels);
if (cracks.length > 0) {
return { action: 'flag', data: cracks };
}
}
}Request early access
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