Drone systems
Flight stacks, Pixhawk integration, multi-vehicle workflows, MAVLink control, and field-ready setup references.
Mission-ready engineering
From flight controller to onboard AI, every guide is written for deployment.
Drobotics develops UAV platforms, payload integration, computer vision, SLAM, telemetry networks, and autonomy workflows for real field testing. This library documents the engineering behind those systems in a clean technical format.
FCUPixhawk / MAVLink
ComputeJetson / Raspberry Pi
PerceptionYOLO / RealSense / SIYI
NavSLAM / FAST-LIO
Vision autonomy
Camera streaming, YOLO pipelines, RealSense validation, QR recognition, gimbals, and onboard Jetson workflows.
SLAM and mapping
Sensor debugging, FAST-LIO workflows, mapping, localization, and autonomous navigation notes.
Network engineering
Digital transmission, Livox networking, Rpanion, Jetson setup, and robust communication links.
Rover development
ROS2 control, Ackermann steering, Raspberry Pi integration, and autonomous mobility workflows.
Education and courses
Safe flight, Python automation, MAVProxy, YOLO tracking, and applied drone engineering.
What We Build Around
AirframeExpandable UAV platforms for testing and payload work
AutopilotPixhawk, MAVLink, mission control, and failsafe workflows
PayloadVision, LiDAR, gimbal, AI detection, and embedded compute
Field OpsDocumentation from lab bench to outdoor verification
Network and telemetry
Deployment notes for digital transmission, Jetson networking, Livox configuration, and reliable system communication.
Autonomous control
Algorithm and control references for MAVLink workflows, guided flight, and onboard automation.
Drone specifications
Reference material for Drobotics drone platforms, components, and expansion-ready hardware configurations.