DroneBridge is a system based on the WifiBroadcast approach. A bidirectional digital radio link between two endpoints is established using standard WiFi hardware and a custom protocol. DroneBridge is optimized for use in UAV applications and is a complete system. It is intended be a real alternative to other similar systems, such as DJI Lightbridge or OcuSync.
The fuse stack provides a general architecture for performing sensor fusion live on a robot. Some possible applications include state estimation, localization, mapping, and calibration.
ROS-based framework and RPi image to control PX4-powered drones 🍀
YARP - Yet Another Robot Platform
Generator of runtime monitors for flight and robotics applications.
Visualization and controlling application for Android
Translated🦆 Feetech HD1910 Microduck replica: one-legged balance, ready-to-use models, Chinese console, custom HAT/IMU & 3-step build guides. No training required.
An Event-Driven, Asynchronous, Behavioral State Machine Library for ROS (Robotic Operating System) applications written in C++
- state-machine
- ros
- ros-packages
- navigation
Fiducial markers for SLAM.
- ros
- ceiling-fiducials
- ros2
- ros2-jazzy
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.
- robotics
- graphical-programming
- state-machine
Robotic fabrication package for the COMPAS Framework.
- compas
- robotics
- architecture
- digital-fabrication
A robotics monorepo: ROS 2 real-robot humanoid application plus reusable Python libraries for geometry, occupancy grids, kinematics and tracking.
CARLA-based cooperative perception system integrating YOLO26n, V2I communication, sensor fusion, TTC risk assessment, and automated braking.
A collection of machine-learned models for use in autonomous driving applications.