Shield AI

Enables aerial vehicles to navigate and maintain flight control in environments without GPS signals or external infrastructure. Uses onboard perception and AI decision-making to determine position and trajectory in real-time.

Perceives and responds to obstacles in the flight environment in real-time without pre-mapping. Uses onboard AI to identify hazards and make autonomous evasion decisions during flight.

Generates and executes flight plans autonomously based on mission objectives, adapting to environmental conditions and constraints in real-time without human intervention.

Processes sensor data and makes autonomous flight decisions entirely onboard without reliance on external communication links, cloud services, or ground control. Enables fully autonomous operation in communication-denied environments.

Translates raw sensor perception directly into flight control commands using AI, enabling autonomous flight control based on visual and sensor input without intermediate mapping or localization steps.

Integrates data from multiple sensor types (cameras, IMU, lidar, etc.) to create a unified perception model for autonomous flight decision-making and control.

Enables autonomous flight and decision-making in environments with moving obstacles, changing conditions, and unpredictable elements. Adapts flight behavior in real-time to dynamic environmental factors.

Provides a research platform and reference implementation for autonomous flight AI, enabling researchers and defense contractors to study and build upon cutting-edge autonomous pilot technology.