Audition for Java Learning Robot Programming Books

Robots are intelligent machines with computers instead brains and programming lines instead knowledge. Java is one of the most popular programming language and could be used to program robots regardless of the operating system used. From a simple telepresence robot to an advanced humanoid robot, Java is used to make a robot intelligent, to recognize objects, speak, listen, walk, jump, and the list goes on.

Java is object-oriented programming language allowing users to model the real-world in objects or concepts. Also it is a powerful tool used to create artificial intelligence which is the latest trend in robotics. Using artificial intelligence a robot’s control system could resemble a brain and is capable to understand the environment.

Starting with Java introduction in robotics books and finished with advanced books for Java programming, all these books are written to share from basic to advanced knowledge about how a robot should/could be programmed.

01. Learning to Program with Robots

Learning to Program with Robots

Written by Byron Weber Becker the ‘Learning to Program with Robots‘ is one of the most used book by students to be introduced in object-oriented programming. This book explain the object-oriented concepts using robotic simulation and a lot of examples. Is a great tool to understand how programming could be used in robotics and how could be applied.

02. The Definitive Guide to Building Java Robots

The Definitive Guide to Building Java Robots

The Definitive Guide to Building Java Robots‘ is written by Scott Preston, a software craftsman and roboticist, a book which covers all stages from programming microcontrollers to speech and vision. Used by students or hobbyists, this book is a definitive guide to understand and learn how a robot could be programmed using Java language.

03. Building Robots with Java Brains

Building Robots with Java Brains

Everyone knows the Lego NXT, but not everyone knows to use Java to program this robot. Using ‘Building Robots with Java Brains‘ written by Brian Bagnall any user can discover much more projects using the same advanced kit from LEGO.

04. Hands-On Ai With Java: Smart Gaming, Robotics, and More

Hands-On Ai With Java: Smart Gaming, Robotics, and More

Written by Edwin Wise, ‘Hands-On Ai With Java: Smart Gaming, Robotics, and More‘ is a book with artificial intelligence algorithms used in robotics online or physical robots. Using AI, a robot becomes smarter and could take decision based on rules written in his memory. This book could be a real start for advanced users to develop complex algorithm in robotics.

05. Beyond Webcams

Beyond Webcams

Is not simple to control robots under the sea or in space, and also is not so simple to control robots in general. This book covers a lot of techniques to control robots but also using Internet connection. These robots should be equipped with cameras and transmit images to user.

06. Applied Evolutionary Algorithms in Java

Applied Evolutionary Algorithms in Java

This bookis addressed to students and researchers who try to understand and learn to apply artificial intelligence to robots. Written by Robert K. Ghanea-Hercock, the book present Java algorithm and technique applied in robotics.

07. Machine Vision Algorithms in Java: Techniques and Implementation

Machine Vision Algorithms in Java

A robot should see first and then to understand the environment. ‘Machine Vision Algorithms in Java‘ covers a lot of techniques and examples which can be used to create intelligent robots which recognize people, a cup, or a ball. These robots are the future, and this book could be the first step to start building smart robots.

08. Advances in Robot Learning

Advances in Robot Learning

Advances in Robot Learning‘ is a book for advanced users with multiple applications including navigation, neural network approaches, or autonomous robots. All these papers are written under research study and covers topics such as map building for robot navigation, multi-task reinforcement learning, neural network approaches, example-based learning, situated agents, planning maps for mobile robots, path finding, autonomous robots, and biologically inspired approaches.