Book Image

Artificial Intelligence for Robotics

By : Francis X. Govers
Book Image

Artificial Intelligence for Robotics

By: Francis X. Govers

Overview of this book

Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills. As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks. By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.
Table of Contents (13 chapters)

Summary

This chapter covered several important topics. It started with some of the basics of robotics, for readers who needed a bit more background. We talked about common robot parts, such as sensors, computers, and motors/actuators. We discussed the subsumption architecture in more depth and showed how it helped the robot arbitrate between responding to different events and commands.

The next section covered the software setup for running the robot, including the offboard development environment and the onboard Raspberry Pi 3 computer environments. We set up the ROS and installed the Python tools.

The final section covered the hardware construction of the example robot, TinMan, with its tank-tread base and robot arm composed of servo motors. We showed how to wire the power supply up and connect all of the components to the Raspberry Pi 3 controller. We installed the ROS software...