The practical part of this chapter consists of operationally implementing the ML node described earlier. What we represented there as a black box is developed now as a ROS package that you may integrate with the functionalities you discovered in previous chapters:
- The remote control in Chapter 7, Robot Control and Simulation, for both the virtual robot in Gazebo and the physical GoPiGo3
- Robot navigation for a virtual robot in Chapter 8, Virtual SLAM and Navigation Using Gazebo, and the physical GoPiGo3 in Chapter 9, SLAM for Robot Navigation
So, we divide this section into two parts:
- The first section, Object recognition in Gazebo, provides you with the tools to integrate the ML node for image recognition in Gazebo so that, after finishing the practice, you may let your creativity fly to combine object recognition with...
