FieldAI

FieldAIProgress tracking & quality inspection, Safety & Environmental Monitoring

Autonomous Spot-based scanner for daily progress capture and BIM deviation checks

4
Deployments: 3
Companies that ran it

How it works on your site

FieldAI is a legged-robot autonomy platform that pairs a sensor-compute payload with a Boston Dynamics Spot to run autonomous site inspections on active construction projects. It covers six documented subtasks across safety monitoring, daily walkthroughs, 3D scanning, BIM-to-field comparison, and defect tracking; the superintendent and safety team still own interpretation, response, and corrective action. FieldAI has been shipping since 2024, with DPR Construction, Big-D Construction and Ryan Companies among the organizations on record.

Progress tracking & quality inspection

BIM-to-Field Comparison (Scan-vs-BIM)

The system overlays captured scans against BIM models to identify deviations from the design intent. The robot navigates without prior maps or GPS, relying on SLAM and on-edge processing to build its own spatial reference as it moves through the site.

Daily Walkthrough and Progress Documentation

The robot runs scheduled or on-demand documentation passes on a daily cadence, capturing photo and scan data across each floor. It replans its path when site conditions change between runs. The superintendent reviews the captured data rather than walking the floors for routine documentation.

Defect Identification and Punch List / Closeout Tracking

The robot captures daily scan data that feeds defect identification and progress tracking against the project schedule. The project team still owns the punch list workflow, interpretation of flagged items, and closeout documentation.

3D Scanning and Point Cloud Capture

The robot generates 360-degree scans using LiDAR and vision sensors, processing all data on-edge without cloud connectivity. NVIDIA Omniverse NuRec handles 3D reconstruction from the captured data.

Safety & Environmental Monitoring

Hazard Identification and Unsafe Behavior Detection

The system uses onboard vision and LiDAR to scan for physical hazards: standing water, blocked egress routes, holes, drop-offs, slippery surfaces, and machinery proximity. The safety team reviews flagged conditions and decides on remediation.

PPE Compliance Monitoring

The robot traverses active floors and identifies workers missing required PPE, then flags violations to the project team. The safety manager still reviews each alert and determines the response.

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Who has run it

4 deployments · 3 companies · 1 country

Will it work on your site

Operating weight: 32.7 kg base (Spot with battery, excluding FieldAI payload)
Navigation: Foundation-model-based localization and mapping, no GPS required
Throughput: 90%+ reduction in inspection and documentation time vs. manual walkthroughsBased on DPR Construction deployment; 45,000+ photos and 500,000 sq ft of interior scanning on one project.
Battery runtime: ~90 min per charge (Spot platform); hot-swappable batteries, dock recharge to 80% in ~50 minRuntime varies with terrain, payload, and speed. Payload-equipped runtime may be shorter than platform baseline.
Multi-floor access: Stair-climbing capable (Spot platform); 4-floor mapping confirmed in production deploymentStair-climbing is a Spot platform capability. Freight elevator or manual repositioning may be needed for some buildings.

As the maker states it.