- Sensors mentioned in the text include:
- Sonar sensors
- Cameras
- Microphones
- Buttons
- Analog-to-digital voltage sensors
- Temperature via thermistors
- PWM stands for Pulse Width Modulation, a type of digital-to-analog control scheme where pulses are sent out that get longer based on the amount of control desired. It is commonly used to control DC motors.
- As the name says, analog to digital conversion (A2D) takes in an analog value, typically a voltage, and converts it into a digital value or number that the digital part of the computer can understand.
- As stated in the text, the subsumption architecture was originally described by Dr. Rodney Brooks, a professor at MIT who would later help found iRobot Corporation and invent the Baxter Robot. Rodney was trying to develop analogues of insect brains in order to understand how to program intelligent robots...
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.
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Current Title:
Artificial Intelligence for Robotics
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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