Autonomous Flight Systems
Developing cutting-edge unmanned aerial systems for next-generation mapping, computer vision, and autonomous navigation.
INTELLIGENT AUTONOMY IN COGNITION
We design, build, and operate advanced autonomous unmanned aerial systems engineered to navigate complex environments, perform automated payload delivery, and integrate computer vision capabilities for target recognition and search-and-rescue operations.
TECHNICAL SUBSYSTEMS
Avionics & Control
Robust flight controller integration, redundant telemetry arrays, and custom power distribution boards designed for flight efficiency and maximum endurance.
Computer Vision
Real-time object detection and classification using custom-trained YOLOv8 models, automated target geolocation, and high-definition imagery processing.
Autonomous Navigation
Advanced path planning algorithms, obstacle avoidance, GPS/IMU localization, and automated mission sequencing using ArduPilot firmware.
ENGINEERED FOR FLIGHT PRECISION
LATEST UPDATES & MILESTONES
YOLOv8 Optimization
Optimized our custom YOLOv8 model for real-time target recognition, achieving 94% precision in simulated test drops.
Hardware Assembly
Successfully assembled the custom carbon fiber airframe and integrated the primary power distribution boards.
Autonomous Takeoff
Conducted our first autonomous takeoff, waypoint navigation, and landing sequence in a controlled environment.
beacon / bottle executes a script that transitions the
drone to Loiter for 60 seconds, drops the payload, then reverts to Auto
mode.velocity_decay=13 applied. YOLOv8World-v2 model
demonstrates automated scripts — RC 9 mapped to
bottle, RC 10 to beacon.MEMBER NAME
Role Description
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