Java on the Raspberry Pi
Java on the Raspberry Pi, Apress
Develop Java Programs to Control Devices for Robotics, IoT, and Beyond
Von Greg Flurry, im heise Shop in digitaler Fassung erhältlich
Develop Java Programs to Control Devices for Robotics, IoT, and Beyond
Von Greg Flurry, im heise Shop in digitaler Fassung erhältlich
Produktinformationen "Java on the Raspberry Pi"
Use Java to do whatever you want to do with the Raspberry Pi and the devices you need for your project. In theory, it should be possible, and even easy, to work with on the Pi. Unfortunately, reality is a bit different. This book features an extensive set of techniques that allow you to get close to bringing this theory to fruition.
You'll review some limitations on using Java imposed by the Raspberry Pi and Raspberry Pi OS, and even Java itself, and examine which ones might apply to your projects and your devices. You'll also explore solutions to address the limitations and l look at efficient development of Java for the Raspberry Pi.
Java on the Raspberry Pi shows how to interact with a range of devices useful in robotics and IOT, overcoming the hurdles in doing so. It also covers off-loading work from the Raspberry Pi to an Arduino, leveraging its close-to-real time capabilities.
WHAT YOU'LL LEARN
* Develop with Java remotely using NetBeans
* Leverage available libraries to enable device interaction, and what to do if they don’t work
* Implement multi-processing, using an Arduino as a co-processor
*
Build sophisticated projects with multiple threads of execution, multiple processes, and even multiple systems
WHO THIS BOOK IS FOR
Experienced programmers who appreciate the benefits of Java and world class tools for application development and want to build robotics or IOT projects using the low cost, low power, and portability of the Raspberry Pi.
GREG FLURRY has worked as a programmer and electronics engineer for IBM. In the span of a 40-year career, his roles have included product development, product architecture, research, and client services. He achieved the title of IBM Distinguished Engineer. Greg has authored over 50 articles in IBM and non-IBM publications on topics ranging from simple programming examples to large scale system architectures. He is an inventor, with over 30 patents. He started programming in Java from the time it became public in 1996, and over time, wrote thousands of lines of Java code. After retirement in 2013, he started working with the Raspberry Pi, with the goal of using it as the brain in autonomous robots. As the robots became more complex, he longed for Java and professional development tools. In 2017, he began using Java on the Raspberry Pi and has done so since, educating himself on the techniques of connecting sundry devices to the Raspberry Pi via Java, as well as identifying techniques useful in building moderately complex robotics systems.
Chapter 1: Motivation
● Why the Raspberry Pi?
● Why Java?
● Why NetBeans?
Chapter 2: Setting up the Raspberry Pi
● Raspberry Pi OS
● Enabling device support
● Java
● Remote control via ssh
Chapter 3: Setting up NetBeans
● Installing NetBeans
● Configuring NetBeans for remote development on the Raspberry Pi
● The first program
● Debugging
● Additional techniques
Chapter 4: Connecting an Inertial Management Unit (IMU)
● Testing using an Arduino
● Pi4J
● Porting an Arduino library
● Gyroscope
● Accelerometer
● Magnetometer
Chapter 5: Using the Gyroscope
● The Gyroscope class
● Testing Gyroscope
Chapter 6: Connecting a Servo Controller
● Testing and configuring Maestro via Control Center
● Porting an Arduino library
● The Maestro class
● The Servo class
Chapter 7: Using the Maestro
● Extending the Maestro class
● The Servo class
Chapter 8: Connecting a DC Motor Controller
● Testing and configuring RoboClaw via Motion Studio
● Testing with Python
● Porting a Python library
● The RoboClaw class
Chapter 9: Connecting a Temperature/Humidity Sensor
● Porting an Arduino library
● The DHT22 class
● The TeHu class
Chapter 10: Connecting an Arudino
● The command structure
● The Arduino class
Chapter 11: Connecting LIDAR sensor to the Arduino
● Getting the Arduino library
● Testing
Chapter 12: Connecting the servo controller to the Arduino
● Configuring Maestro via Control Center
● Getting the Arduino library
● Testing
Chapter 13: Creating a LIDAR Subsystem on the Arduino
● Creating the subsystem
● Testing on the Arduino
● The Lidar class
Chapter 14: Communicating with other programs.
● Establishing the communication protocols
● Establishing the data exchange
● The Python program
● The Java program
You'll review some limitations on using Java imposed by the Raspberry Pi and Raspberry Pi OS, and even Java itself, and examine which ones might apply to your projects and your devices. You'll also explore solutions to address the limitations and l look at efficient development of Java for the Raspberry Pi.
Java on the Raspberry Pi shows how to interact with a range of devices useful in robotics and IOT, overcoming the hurdles in doing so. It also covers off-loading work from the Raspberry Pi to an Arduino, leveraging its close-to-real time capabilities.
WHAT YOU'LL LEARN
* Develop with Java remotely using NetBeans
* Leverage available libraries to enable device interaction, and what to do if they don’t work
* Implement multi-processing, using an Arduino as a co-processor
*
Build sophisticated projects with multiple threads of execution, multiple processes, and even multiple systems
WHO THIS BOOK IS FOR
Experienced programmers who appreciate the benefits of Java and world class tools for application development and want to build robotics or IOT projects using the low cost, low power, and portability of the Raspberry Pi.
GREG FLURRY has worked as a programmer and electronics engineer for IBM. In the span of a 40-year career, his roles have included product development, product architecture, research, and client services. He achieved the title of IBM Distinguished Engineer. Greg has authored over 50 articles in IBM and non-IBM publications on topics ranging from simple programming examples to large scale system architectures. He is an inventor, with over 30 patents. He started programming in Java from the time it became public in 1996, and over time, wrote thousands of lines of Java code. After retirement in 2013, he started working with the Raspberry Pi, with the goal of using it as the brain in autonomous robots. As the robots became more complex, he longed for Java and professional development tools. In 2017, he began using Java on the Raspberry Pi and has done so since, educating himself on the techniques of connecting sundry devices to the Raspberry Pi via Java, as well as identifying techniques useful in building moderately complex robotics systems.
Chapter 1: Motivation
● Why the Raspberry Pi?
● Why Java?
● Why NetBeans?
Chapter 2: Setting up the Raspberry Pi
● Raspberry Pi OS
● Enabling device support
● Java
● Remote control via ssh
Chapter 3: Setting up NetBeans
● Installing NetBeans
● Configuring NetBeans for remote development on the Raspberry Pi
● The first program
● Debugging
● Additional techniques
Chapter 4: Connecting an Inertial Management Unit (IMU)
● Testing using an Arduino
● Pi4J
● Porting an Arduino library
● Gyroscope
● Accelerometer
● Magnetometer
Chapter 5: Using the Gyroscope
● The Gyroscope class
● Testing Gyroscope
Chapter 6: Connecting a Servo Controller
● Testing and configuring Maestro via Control Center
● Porting an Arduino library
● The Maestro class
● The Servo class
Chapter 7: Using the Maestro
● Extending the Maestro class
● The Servo class
Chapter 8: Connecting a DC Motor Controller
● Testing and configuring RoboClaw via Motion Studio
● Testing with Python
● Porting a Python library
● The RoboClaw class
Chapter 9: Connecting a Temperature/Humidity Sensor
● Porting an Arduino library
● The DHT22 class
● The TeHu class
Chapter 10: Connecting an Arudino
● The command structure
● The Arduino class
Chapter 11: Connecting LIDAR sensor to the Arduino
● Getting the Arduino library
● Testing
Chapter 12: Connecting the servo controller to the Arduino
● Configuring Maestro via Control Center
● Getting the Arduino library
● Testing
Chapter 13: Creating a LIDAR Subsystem on the Arduino
● Creating the subsystem
● Testing on the Arduino
● The Lidar class
Chapter 14: Communicating with other programs.
● Establishing the communication protocols
● Establishing the data exchange
● The Python program
● The Java program
Artikel-Details
- Anbieter:
- Apress
- Autor:
- Greg Flurry
- Artikelnummer:
- 9781484272640
- Veröffentlicht:
- 27.09.21