This is a repository for the projects realized in the course AI in Robotics at University of Applied Science (HTW) Berlin.
Matrikel-Nr: 559842 - Calussi Diletta
The main objective of this project is to get a basic insight on how the publisher/subscriber system works within the ROS environment. A CNN model is implemented in Keras, in order to classify images (based on the MNIST dataset).
There are two nodes:
- CameraPseudo: The camera acts either as Publisher and as Subscriber. It manages both fixed number and random number
- Prediction is a subscriber to all topics where CameraPseudo publishes. Prediction also acts on both fixed and random number
The final system looks like as follows:
A more detailed explanation is in the SOLUTION.md file (German).