Deep Learning (Adaptive Computation and Machine Learning series) | Introduction to Robotics | Robot Modelling and Control | Principles of Robot Motion | Probabilistic Robotics | Introduction to Autonomous Mobile Robots | Programming Robots With ROS | Robotics, Vision and Control | Linear System Theory and Design
A massive open online course (MOOC), using this book, will be run by Professor Bruno Siciliano between October 2016 and the end of February 2017. Details of the MOOC can be found at:Â http://www.federica.eu/c/robotics_foundations_i_robot_modelling.
Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded to include coverage of mobile robots, visual control and motion planning. A variety of problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained.
The text includes coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors.
To impart practical skill, examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, end-of-chapter exercises are proposed, and the book is accompanied by an electronic solutions manual containing the MATLABÂ® code for computer problems; this is available free of charge to those adopting this volume as a textbook for courses.
Pricing is shown for items sent to or within the U.S., excluding shipping and tax. Please consult the store to determine exact fees. No warranties are made express or implied about the accuracy, timeliness, merit, or value of the information provided. Information subject to change without notice. isbn.nu is not a bookseller, just an information source.