Book Image

Artificial Intelligence for Robotics

By : Francis X. Govers III
Book Image

Artificial Intelligence for Robotics

By: Francis X. Govers III

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)

Other robot arm machine-learning approaches

The realm of robot arm control via machine learning is really just getting started. There are a couple of research avenues I wanted to bring to your attention as you look for further study. One way to approach our understanding of robot movement is to consider the balance between exploitation and exploration. Exploitation is getting the robot to its goal as quickly as possible. Exploration is using the space around the robot to try new things. The path planning program may have been stuck on a local minimum, and there are better solutions available that had not been considered.

There is also more than one way to teach a robot. We have been using a sort of self-exploration in our training. What if we could show the robot what to do and have it learn by example? We could let the robot observe a human doing the same task, and have...