Discover the difference between making a robot
move and making a robot
think.
Using Mindstorms EV3 and Le JOS—an open source project for Java Mindstorms projects—you’ll learn how to create Artificial Intelligence (AI) for your bot. Your robot will learn how to problem solve, how to plan, and how to communicate. Along the way, you’ll learn about classical AI algorithms for teaching hardware how to think; algorithms that you can then apply to your own robotic inspirations.
If you’ve ever wanted to learn about robotic intelligence in a practical, playful way,
Beginning Robotics Programming in Java with LEGO Mindstorms is for you.
What you’ll learn:
- Build your first LEGO EV3 robot step-by-step
- Install Le JOS and its firmware on Lego EV3
- Create and upload your first Java program into Lego EV3
- Work with Java programming for motors
- Understand robotics behavior programming with sensors
- Review common AI algorithms, such as DFS, BFS, and Dijkstra’s Algorithm
Who this book is for:
Students, teachers, and makers with basic Java programming experience who want to learn how to apply Artificial Intelligence to a practical robotic system.
Spis treści
Chapter 1: Introduction to Lego Mindstorms and Le JOS.- Chapter 2: Introduction to Motor Sensors.- Chapter 3: Controlling Wheeled Vehicles.- Chapter 4: Coordinators and Navigator API Chapter 5: Depth-First Searching Algorithm and its Implementation with Lego Mindstorms.- Chapter 6: Breadth-First Searching Algorithm and its Implementation with Lego Mindstorms.- Chapter 7: Hill Climbing Algorithm and its Implementation with Lego Mindstorms.- Chapter 8: Dijkstra’s Algorithm and its Implementation with Lego Mindstorms.- Chapter 9: A* Algorithm and its Implementation with Lego Mindstorms.- Chapter 10: Touch Sensor and Ultrasound Sensor.-
Chapter 11: Light and Color Sensor.- Chapter 12: Introduction to Behavior Programming.-Chapter 13: Multithread Programming with Java le JOS.
O autorze
Wei Lu is an Associate Professor of Computer Science, Keene State College, New Hampshire. He received his Ph.D. degree in Electrical and Computer Engineering from the University of Victoria. Prior to joining Keene State College, he was a Research Scientist with the German Research Centre for Artificial Intelligence and worked with Q1 Labs Inc. (Security Systems Division, IBM since October 2011) as a Secure Software Engineer. His general areas of research interests include Artificial Intelligence and Cyber Security. In the past 10 years, he had more than 40 papers published by peer-reviewed journals, book chapters, and conference proceedings. In addition, he co-authored a book,
Network Intrusion Detection and Prevention: Concepts and Techniques published by Springer and has served as a technical program committee and a technical reviewer for more than 70 international conferences and journals since 2006.
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