Abstract: The human-machine shared navigation control technology for maritime autonomous surface ships (MASSs) integrates advanced techniques such as perception enhancement, intelligent decision-making, and autonomous control to establish a novel navigation control paradigm that enables efficient cooperation, dynamic authority allocation, and intuitive interaction between ship navigators and autonomous navigation systems. It serves as a core foundation for constructing the next-generation intelligent maritime transportation system and improving maritime operational safety. Based on the current application requirements of MASSs, this paper reviews the core technologies of human-machine shared navigation control at home and abroad, summarizes representative framework architectures, and analyzes the research status and key challenges surrounding driving behavior modeling and risk quantification, situation awareness enhancement, navigation decision-making, navigation control, fault detection, and fault-tolerant control. Future research directions and development trends of human-machine shared navigation control for MASSs are discussed and envisioned.