EXPERIMENTAL AEROSPACE FACILITY

FLIGHT LAB
WHERE SOFTWARE LEARNS TO FLY.

An experimental environment for exploring intelligent flight systems, embedded computing, sensing, control and autonomous technologies.

EXPERIMENTALUAV EMBEDDED R&D HANGAR
FLIGHT LAB/HANGAR BAY 01
4ms00:00:00 UTC
INITIALIZING 3D TELEMETRY ENVIRONMENT...WEBGL 2.0 SHADER PIPELINE LOADING
LIVE FLIGHT TELEMETRY
DEMONSTRATION TELEMETRY
ALTITUDE (AGL)
124.5 M
AIRSPEED
18.4 M/S
ATTITUDE (P/R)
2.1° / -0.8°
GPS LOCK
3D FIX (18 SAT)
BATTERY VOLTS
94% (22.8V)
THROTTLE BUS
42.5%
CLOSED LOOP CONTROL ARCHITECTURE

AUTONOMOUS FLIGHT FEEDBACK CYCLE

01

SENSORS

IMU, Optical Flow, LiDAR, RTK GPS & Airspeed pitot stream.

02

STATE ESTIMATION

Extended Kalman Filter (EKF3) fusion for attitude & position.

03

AI / DECISION

Neural network obstacle mapping & dynamic flight path update.

04

FLIGHT CONTROL

Sub-millisecond PID rate loop execution on micro-kernel.

05

ACTUATION

PWM motor ESC drive & digital surface actuator positioning.

06

FEEDBACK

Real-time telemetry sensor loop closure & logger record.

CORE AEROSPACE R&D DOMAINS

FLIGHT LAB RESEARCH AREAS

AUTONOMOUS FLIGHT CONTROL

High-performance flight stabilization algorithms executing adaptive gain control to withstand wind gusts and sensor degradation.

COMPUTER VISION NAVIGATION

GPS-denied navigation utilizing optical flow velocity calculation, visual inertial odometry (VIO) and terrain mapping.

EDGE AI FLIGHT INTELLIGENCE

Embedded neural models executing onboard target detection, dynamic search-and-track and collision avoidance.

EMBEDDED AVIONICS COMPUTING

Ruggedized dual-redundant micro-controllers, custom carrier PCBs, and failsafe parachute emergency deployment circuits.