Embedded Robotics
From Mobile Robots to Autonomous Vehicles
with Raspberry Pi and Arduino

Thomas Bräunl

This textbook presents a unique examination of mobile robots and autonomous vehicles using embedded systems, from introductory to advanced level. It is structured in four parts, dealing with Embedded Systems (processors, sensors, actuators, control, multitasking and communication), Robot Hardware (driving and walking robots, autonomous boats and planes, as well as robot manipulators), Robot Software (localization, navigation, image processing and automotive systems), and Artificial Intelligence (neural networks, genetic algorithms and deep learning). The book is organized for ease of use, with numerous figures, photographs, and worked example programs. The book is written as a text for courses in computer science, computer engineering, IT, electronics engineering, and mechatronics, as well as a guide for robot hobbyists and researchers. In this 4th edition the text has been thoroughly updated and extended. It now uses the Raspberry Pi and Arduino embedded processors for all mobile robots systems. 

• 4nd Edition (english version), Springer-Verlag, Berlin, Heidelberg, 2022, pp. (XIV, 519), paperback
  
  • Springer
  • Amazon
  • Full contents (pdf)

• Izhevsk Inst. of Computer Science, Russia, 2012
• Can be ordered from RCD
  

• Xi'An Jiaotong University Press, 2012, translated by JinTao Liu
• Can be ordered from Douban Book or Amazon China
  

• Springer-Tokyo, 2006, translated by Dr. Kagawa from Kanazawa University
  Can be ordered from Amazon Japan

• Complete RoBIOS operating system with C/C++ compilers, tools, and online documentation
  http://roblab.org/eyebot/
• Free robot simulation system EyeSim with lots of example programs
  http://roblab.org/eyesim/
• Full set of lecture notes (PowerPoint) for lecturers who adopt the book for a course
• Translations of this book exist in English and Japanese

Contents

PART I: EMBEDDED SYSTEMS
1 Robots and Controllers
2 Central Processing Unit
3 Arduino
4 Raspberry Pi
5 Sensors and Interfaces
6 Actuators
7 Control
8 Multitasking
9 Communication

PART II: ROBOT HARDWARE
10 Driving Robots
11 Walking Robots
12 Autonomous Boats and Planes
13 Robot Manipulators

PART III: ROBOT SOFTWARE
14 Localization and Navigation
15 Maze Navigation
16 Image Processing
17 Automotive Systems

PART IV: ARTIFICIAL INTELLIGENCE
18 AI Concepts
19 Neural Networks
20 Genetic Algorithms
21 Deep Learning
22 Outlook