This book offers a comprehensive overview of intelligent robot audio visual navigation, emphasizing the fusion of multimodal audio and visual information to advance both theoretical innovation and practical engineering. It introduces five key technologies—from echo enhanced embodied navigation to dynamic multi target fusion systems—detailing their principles, algorithm design, experimental validation, and performance optimization through extensive simulation and real world testing. In addition, the book explores emerging trends such as the integration of metaverse systems, digital twins, and brain computer interfaces, while addressing industrial challenges and practical deployment needs. Structured for both research and teaching, it serves advanced students, researchers, and engineers working in robotics, multimodal information fusion, and navigation technologies, offering a cross disciplinary framework that connects robotics, signal processing, and artificial intelligence to drive new innovations in audio visual navigation.
