Embedded Robotics
From Mobile Robots to Autonomous Vehicles with Raspberry Pi and Arduino
(Sprache: Englisch)
This book presents a unique examination of mobile robots and embedded systems, from introductory to intermediate level. It is structured in three parts, dealing with Embedded Systems (hardware and software design, actuators, sensors, PID control,...
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Klappentext zu „Embedded Robotics “
This book presents a unique examination of mobile robots and embedded systems, from introductory to intermediate level. It is structured in three parts, dealing with Embedded Systems (hardware and software design, actuators, sensors, PID control, multitasking), Mobile Robot Design (driving, balancing, walking, and flying robots), and Mobile Robot Applications (mapping, robot soccer, genetic algorithms, neural networks, behavior-based systems, and simulation). The book is written as a text for courses in computer science, computer engineering, IT, electronic engineering, and mechatronics, as well as a guide for robot hobbyists and researchers.
Inhaltsverzeichnis zu „Embedded Robotics “
Part I, Embedded Systems and Programming Environments.- Robots and Controllers.- Central Processing Unit.- Sensors.- Actuators.- Actuators.- Control.- Multitasking.- Wireless Communication.- Raspberry Pi.- Arduino.- Part II, Mobile Robot Design.- Driving Robots.- Omnidirectional Robots.- Balancing Robots.- Walking Robots.- Autonomous Planes.- Autonomous Vessels and Underwater Vehicles.- Robot Manipulators.- Simulation Systems.- Part III, Mobile Robot Applications.- Localization and Navigation.- Maze Exploration.- Map Generation.- Real-Time Image Processing.- Robot Soccer.- Neural Networks.- Evolutionary Computing Approaches.- Behavior-Based Systems.- Evolution of Walking Gaits.- Automotive Systems.- Outlook.- Appendices, Index.
Autoren-Porträt von Thomas Bräunl
Thomas Bräunl is Professor at The University of Western Australia, Perth, where he directs the Robotics & Automation Lab as well as the Renewable Energy Vehicle Lab. He has developed numerous robotics systems, including the EyeBot robot family and the EyeSim simulation system. Professor Bräunl worked on Autonomous Driving Systems with Mercedes-Benz and on Electric Vehicle Systems with BMW. He holds a Diploma from Univ. Kaiserslautern, an M.S. degree from the University of Southern California, Los Angeles, and a Ph.D. and Habilitation from Univ. Stuttgart. Bibliographische Angaben
- Autor: Thomas Bräunl
- 2022, 4. Aufl., XIII, 519 Seiten, 361 farbige Abbildungen, Maße: 17 x 24,2 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 9811608032
- ISBN-13: 9789811608032
Sprache:
Englisch
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