A Systematic Approach to Learning Robot Programming with ROS - Newman, Wyatt
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ROS is becoming the de facto means of robot programming, and is expected to be crucial for robotics development in self-driving cars, service robots, and more. This book provides a comprehensive introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation.

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Produktbeschreibung
ROS is becoming the de facto means of robot programming, and is expected to be crucial for robotics development in self-driving cars, service robots, and more. This book provides a comprehensive introduction to the essential components of ROS through detailed explanations of simple code examples along with the corresponding theory of operation.
Autorenporträt
Wyatt Newman is a professor in the department of Electrical Engineering and Computer Science at Case Western Reserve University, where he has taught since 1988. His research is in the areas of mechatronics, robotics and computational intelligence, in which he has 12 patents and over 150 technical publications. He received the S.B. degree from Harvard College in Engineering Science, the S.M. degree in Mechanical Engineering from M.I.T. in thermal and fluid sciences, the M.S.E.E. degree from Columbia University in control theory and network theory, and the Ph.D. degree in Mechanical Engineering from M.I.T. in design and control. A former NSF Young Investigator in robotics, Prof. Newman has also held appointments as: a senior member of research staff, Philips Laboratories; visiting scientist at Philips Natuurkundig Laboratorium; visiting faculty at Sandia National Laboratories, Intelligent Systems and Robotics Center; NASA summer faculty fellow at NASA Glenn Research Center; visiting fellow in neuroscience at Princeton University; distinguished visiting fellow at Edinburgh University, School of Informatics, and the Hung Hing Ying Distinguished Visiting Professor at the University of Hong Kong. Prof. Newman led robotics teams competing in the 2007 DARPA Urban Challenge and in the 2015 DARPA Robotics Challenge, and he continues to be interested in wide-ranging aspects and applications of robotics.