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No, currently this is not possible. There were some attempts for python bindings for controllers afair, maybe @olivier-stasse can give an update on this topic.
If you don't have hard realtime requiremtents, you can use a topic based system with existing python hardware drivers.
Dear @zouzhe1 ,
There is no solution which fits all the problems.
The ros2_controllers are already covering a large part of real life robotics problem.
But if you are designing your own controller and it is quite complex, I would strongly advice to decouple the mathematics from the encapsulation. You can view the ros2_controller interface as a standard interface to encapsulate controllers.
For complex controller, such as inverse dynamics on humanoid robot, and quick prototyping it is usually recommended to check the math with python following examples such as: https://github.com/stack-of-tasks/tsid/tree/master/exercizes if you want to do Task Space Inverse Dynamics.
Then you can deploy it in a custom ros2_controller.
We wrote some python bindings to ros2_control, but they need more work.
Can I use Python to fully write the Ros2 control package?
Because I am not familiar with CPP,
and I am used to using Python libraries such as can, canopen, and so on.
And my Python program for controlling hardware has already been written
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