Neural Networks in Intelligent Robotics

This book, ""Neural Networks in Intelligent Robotics,"" comprehensively covers neural networks in robotic applications. It emphasizes innovative multi-sensor fusion techniques integrated into robots, incorporating computer vision, virtual and augmented reality (VR&AR), and intelligent communication systems, including remote control, adaptive sensor networks, and human-robot (H2R) interaction systems. The book pays special attention to advancements in sensors, actuators, computation technology, and communication networks that enable the implementation of intelligent control hardware. These advancements are pertinent to various scientific research fields, including machine learning (such as deep learning), bio-inspired algorithms, recurrent neural networks, neuro-fuzzy control, and artificial intelligence in general. This book aims to tackle these and other pertinent research topics, consolidating and presenting the latest developments in applying neural networks to robot control across various domains. It covers traditional wheeled robots, legged robots, high-level motion planning tasks, and single limb movements. Potential applications span from exploring unstructured terrain to industrial automation and healthcare, showcasing the broad impact and versatility of neural networks in robotics.