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Informationen zum Autor 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. Zusammenfassung 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. Inhaltsverzeichnis ROS FOUNDATIONS. Introduction to ROS: ROS tools and nodes. Messages, Classes and Servers. SIMULATION AND VISUALIZATION IN ROS . Simulation in ROS. Coordinate Transforms in ROS. Sensing and Visualization in ROS. PERCEPTUAL PROCESSING IN ROS . Using Cameras in ROS. Depth Imaging and Point Clouds. Point Cloud Processing. MOBILE ROBOTS IN ROS . Mobile-Robot. Motion Control. Mobile-Robot Navigation. ROBOT ARMS IN ROS . Low-Level Control. Robot Arm Kinematics. Arm Motion Planning. Arm Control with the Baxter Simulator. An Object-Grabber Package. SYSTEM INTEGRATION AND HIGHER-LEVEL CONTROL . Perception-Based Manipulation. Mobile Manipulation ...
