Summary
We have now achieved the objective of this book and built an end-to-end application for a robot. This has only been an example application; however, you could use the techniques that you learned during this book to build other applications for robotics. In this chapter, you also learned how to install and work with Darknet and YOLO. You worked through evaluating objects using AI and integrating YOLO and ROS to enable your virtual robot to predict objects.
You have learned how to control the robot with natural language processing commands, along with studying various models in this book, such as Word2Vec, GloVe embedding techniques, and non-numeric data. After this, you worked with ROS and built a conversational agent to manage your virtual robot. You developed the skills needed to build a functional application that could integrate with ROS to extract useful information about your environment. You worked with tools that are not only useful for robotics; you can use artificial vision...
