- PID stands for Proportional, Integral, Derivative, and is a type of closed loop controller which does not require a model to operate. PID is not an AI method because it doesn't involve learning and there is no simulation of decision making.
- The Turing test, originally called “The Imitation Game” by Alan Turing, is an imaginary test, or thought experiment, in which a person is communicating with someone or something via a teletype (text message for you millennials). An AI would pass the Turing test if the person was unable to tell if the entity he/she was communicating with was a human or a robot. The Turing test has been pretty much smashed by modern AI-based chatbots, and a new test has been proposed – assembling IKEA furniture via the directions.
- Because they cannot see them completely with a range...
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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