Using Hector Quadrotor with gazebo and a neural network
Hello,
I'm faced with trying to make a UAV fly in gazebo using machine learning. The project is a bit ambiguous, and I'm pretty unfamiliar with Gazebo / robotics / UAVs apart from a passing general knowledge.
That said, I've spent some time working with Gazebo and the tutorials. Writing plugins to do the job doesn't seem all that difficult, and I took a look at the controller code for the hector quadrotor for a clue on how to build that part.
That said, I still really have no idea how to get Hector working in gazebo using plugins (no ROS). I see that the source was built with ROS in mind, and I also see that the model/sensor files are of the type urdf.xarco, which is not the same as an sdf.
Maybe I don't really need Hector to do the job - with sophisticated enough controller code, I'm sure the simple quadrotor model in gazebo would be just fine. Still, it would be nice if there was a more direct example of running simulations in gazebo without ROS... Even better if it demonstrated how to drive a gazebo sim with an AI...
Anyway, grateful for any tips or suggestions...
Thanks.
Anyway, I'm continuing to dig and follow leads, but I was hoping maybe someone could point me to something helpful...
Asked by graffy on 2016-12-19 18:51:34 UTC
Answers
Hi, did you manage to get this working? I'm working on a similar project and currently have a custom world created in Gazebo using the Hector Quadrotor plugin. Trying to control the quadrotor using machine learning but I'm not sure where to start. Thanks
Asked by haidenmcgrath on 2020-01-12 17:11:43 UTC
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