This book presents a multi-disciplinary view of all aspects of rehabilitation robotics and non-invasive surgery, ideal for anyone new to the field. It includes perspectives from both engineers and clinicians. For skilled researchers and clinicians, it also summarizes current robot technologies and their application to various pathologies. The book will help the readers to develop the know-how and expertise necessary to guide those seeking a comprehensive understanding of this topic through their use of several commercial devices for robotic rehabilitation. The book targets the implementation of efficient robot strategies to facilitate the re-acquisition of motor skills. This technology incorporates the outcomes of behavioral studies on motor learning and its neural correlates into the design, implementation, and validation of robot agents that behave as optimal trainers, efficiently exploiting the structure and plasticity of the human sensorimotor systems.

This book comprises select peer-reviewed proceedings of the international conference on Research in Intelligent and Computing in Engineering (RICE 2020) held at Thu Dau Mot University, Vietnam. The volume primarily focuses on latest research and advances in various computing models such as centralized, distributed, cluster, grid, and cloud computing. Practical examples and real-life applications of wireless sensor networks, mobile ad hoc networks, and internet of things, data mining and machine learning are also covered in the book. The contents aim to enable researchers and professionals to tackle the rapidly growing needs of network applications and the various complexities associated with them.