#45 · Primary category： Robotics & Embodied AI Simulation
CERLAB-UAV-Autonomy
[CMU] A Versatile and Modular Framework Designed for Autonomous Unmanned Aerial Vehicles [UAVs] (C++/ROS/PX4)
Project last updated：04/02/25
GitHub Stars
863
Forks
107
Contributors
1
License
MIT
Why we included this project
From CMU's CERLAB group comes a C++/ROS framework that collects the pieces needed to run a quadrotor autonomously: perception, mapping, planning, trajectory optimization, and control, all shipped as ROS packages that already work together. For anyone flying PX4-based drones, it offers a route past teleoperation into fully autonomous missions, with working implementations for exploring unknown spaces and inspecting targets. A built-in simulator lets you exercise the whole pipeline before flying real hardware, so you can iterate without risking a crash. Robotics engineers and researchers get a complete stack they can study, modify, and adapt to their own airframes.
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