Comments (1)
Hey, thanks for the feedback!
The place to put your application logic are the states. Each state is implemented by a Python class and some of its methods as described in the tutorials. For example, you can have a TTS state implementation that expects as input data a string and then plays the audio while being active. Or an NLU state that gets the user's request and has multiple outcomes to denote the potential types that should be treated differently by the robot.
Then, the question is how to interface the state implementation with your existing libraries. Either you simply import them in the Python code or, the way that is most ROS-like, your libraries expose ROS interfaces and the state implementations then simply publish, subscribe, or send action goals.
I would recommend you take a look at existing state implementations here on Github to get some inspiration what works best in your case.
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