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Embedded Robotics
Details
Gives a practical, in-depth introduction to embedded systems and autonomous robots, using the popular Arduino Combines teaching and research material and can be used for courses in Embedded Systems and Automation Provides numerous application examples for mobile robots, which can be tested either on real robots
Autorentext
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.
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09789811608032
- Sprache Englisch
- Auflage 4th edition 2022
- Größe H242mm x B170mm x T29mm
- Jahr 2022
- EAN 9789811608032
- Format Kartonierter Einband
- ISBN 9811608032
- Veröffentlichung 24.03.2022
- Titel Embedded Robotics
- Autor Thomas Bräunl
- Untertitel From Mobile Robots to Autonomous Vehicles with Raspberry Pi and Arduino
- Gewicht 907g
- Herausgeber Springer Nature Singapore
- Anzahl Seiten 536
- Lesemotiv Verstehen
- Genre Informatik