- From the beginning to the end (start to goal); from goal to start; and from both ends at once and meeting in the middle.
- By eliminating the effect of the item on the branch. For example, using our "robot does not move" fault, if the branch says, "Arduino- no power", if you check to see if the Arduino has power, and it does, you can prune that branch. If the branch is “Motor stuck”, the effect of having a motor stuck is that the robot will drive in circles. As the robot is not driving in circles – it’s not driving at all – you can prune that branch.
- It determines the amount of “impurity” in the sample or pool. When the Gini impurity = 0, all of the members of the class have the same attributes, and no further subdivision is possible. Gini minimizes misclassification. The Gini Index...
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Artificial Intelligence for Robotics
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Artificial Intelligence for Robotics
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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)
Preface
Free Chapter
Foundation for Advanced Robotics and AI
Setting Up Your Robot
A Concept for a Practical Robot Design Process
Object Recognition Using Neural Networks and Supervised Learning
Picking up the Toys
Teaching a Robot to Listen
Avoiding the Stairs
Putting Things Away
Giving the Robot an Artificial Personality
Conclusions and Reflections
Assessments
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