This book illustrates basic principles, along with the development of advanced algorithms to realize smart robotic systems. It refers to strategies by which a robot (manipulators, mobile robots, or quadrotors) can learn its own kinematics and dynamics from data. In this context, two major issues have been dealt with, namely, stability of the systems and experimental validations. Learning algorithms and techniques as covered in this book easily extend to other robotic systems as well. The book contains MATLAB-based examples and c-codes under robot operating systems (ROS) for experimental validation so that readers can replicate these algorithms in robotics platforms.
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