See Our Work

A sensor-equipped inspection robot was cleared for routine operation in high-risk energy facility zones under a new foundational safety framework.

Sensor degradation from dust, mud, and rain was managed as an operating boundary condition, validated before driverless public road deployment.

An AI-based, SIL-rated human and object classification system gained independent TIC approval for a novel V&V framework extending functional safety methods to AI.

A warehouse robot integrated non-SIL LiDAR and ultrasonic sensors into a SIL2 safety architecture, balancing collision avoidance, availability, and throughput in human-populated spaces.

An ML-FMEA linked lane detection failures to vehicle-level hazards, improving traceability, defensibility, and early mitigation across the ML development pipeline.

A high-volume sorting system handling items over 50 lbs used sensor placement and ODD-driven logic to reliably distinguish human operators from storage receptacles.