Home Projects mav_control_rw
mav_control_rw
C

mav_control_rw

Control strategies for rotary wing Micro Aerial Vehicles using ROS

by ethz-asl · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
controlrostrajectory-trackingApache-2.0C
View on GitHub
In plain words

Control flying drones using different strategies to follow paths and manage their movements effectively.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
mav_control_rw — GitHub preview card
📈 Star history
450449
2026-07-202026-08-31
📈 Track mav_control_rw

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Control strategies for rotary wing Micro Aerial Vehicles using ROS

mav_control_rw has 449 stars on GitHub. It has been forked 166 times. mav_control_rw is written mainly in C. It has been in active development since 2016. mav_control_rw is available under the Apache-2.0 license. Its main topics are control, ros, trajectory-tracking, uav.

Frequently asked questions

What is mav_control_rw?

Control strategies for rotary wing Micro Aerial Vehicles using ROS

Is mav_control_rw open source?

mav_control_rw is an open-source project. It is released under the Apache-2.0 license.

Is mav_control_rw free?

Yes. mav_control_rw is free and open source — you can use, modify and self-host it.

What license does mav_control_rw use?

mav_control_rw is available under the Apache-2.0 license.

What language is mav_control_rw written in?

mav_control_rw is written mainly in C.

🏅 Maintainer of this project?
olud.ai badge — mav_control_rw

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=ethz-asl-mav-control-rw)](https://olud.ai/project/ethz-asl-mav-control-rw.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.