buchspektrum Internet-Buchhandlung

Neuerscheinungen 2017

Stand: 2020-02-01
Schnellsuche
ISBN/Stichwort/Autor
Herderstraße 10
10625 Berlin
Tel.: 030 315 714 16
Fax 030 315 714 14
info@buchspektrum.de

Chi N. Thai

Exploring Robotics with ROBOTIS Systems


2. Aufl. 2017. xiii, 342 S. 17 SW-Abb., 364 Farbabb., 366 Farbtabellen. 235 mm
Verlag/Jahr: SPRINGER, BERLIN; SPRINGER INTERNATIONAL PUBLISHING 2017
ISBN: 3-319-59830-9 (3319598309)
Neue ISBN: 978-3-319-59830-7 (9783319598307)

Preis und Lieferzeit: Bitte klicken


This 2nd edition textbook has been expanded to include of 175 additional pages of additional content, created in response to readers feedback, as well as to new hardware and software releases. The book presents foundational robotics concepts using the ROBOTIS BIOLOID and OpenCM-904 robotic systems, and is suitable as a curriculum for a first course in robotics for undergraduate students or a self-learner. It covers wheel-based robots, as well as walking robots. Although it uses the standard "Sense, Think, Act" approach, communications (bot-to-bot and PC-to-bot) programming concepts are treated in more depth (wired and wireless ZigBee/BlueTooth). Algorithms are developed and described via ROBOTIS´ proprietary RoboPlus IDE, as well as the more open Arduino-based Embedded C environments. Additionally, a vast array of web-based multimedia materials are used for illustrating robotics concepts, code implementations and videos of actual resulting robot behaviors. Advanced sensor interfacing for gyroscope, inertial measuring unit, foot pressure sensor and color camera are also demonstrated.
Motivations & Instructional Approach.- ROBOTIS´ Robot Systems.- Hardware Characteristics.- Software Tools.- Foundational Concepts.- Actuator Position Control Basics.- Advanced Position Control.- Wireless Communications Programming.- Advanced Sensors.- Embedded C Options.- ROBOTIS-MINI System.

Dr. Chi N. Thai is an Associate Professor at the College of Engineering of the University of Georgia where he lectures undergraduate and graduate courses on Systems Modeling, Multispectral Machine Vision and Robotics. His formal training includes B.S. in Mechanical Engineering and M.S. in Aerospace Engineering, both at Northrop University. He obtained his Ph.D. in Agricultural Engineering from the University of California at Davis. He had done research in adaptive gear shifting for agricultural tractors, optimal hull design for boat tractors, characterization and modeling of quality of agricultural products using spectrometry and hyperspectral imaging. In recent years, he expanded his research and teaching interests into developing embedded plant health sensing packages for land- and air-based autonomous robotic systems and also in applying robotics to STEM teaching and learning at all age levels.