Exoskeleton robots have imperative applications in fields such as medical rehabilitation, disaster rescue and relief, education and entertainment. With the rapid rise in labor costs and the aging of the population, exoskeleton robots have great potential for development. Based on the analysis of the current status of research and development of exoskeleton robots at home and abroad, this book focuses on the mechanical design, driving mode and control strategy of exoskeleton rehabilitation robots, taking the example of exoskeleton robots for the rehabilitation training of stroke patients and those that assist lower limps. It highlights cross-coupling synchronous control strategy of adaptive robust control of the exoskeleton robot driver. Meanwhile, the book also introduces how to integrate deep learning technology into the dynamic analysis of the behaviors of the exoskeleton robot operator so as to improve the efficiency and accuracy of servo control of the exoskeleton robot.