This paper reviews sensing technologies for indoor autonomous mobile robots (AMRs). It discusses the benefits and challenges of using single sensors, introduces basic principles and popular algorithms for processing sensor data, and presents mainstream multi-sensor fusion technologies. It also discusses future development trends and practical challenges in indoor sensing for AMRs. The paper emphasizes the importance of sensing technologies in enabling AMRs to perform localization, mapping, obstacle avoidance, and other tasks. It covers various sensing technologies, including inertial measurement units (IMUs), ultrasonic sensors, infrared sensors, LiDAR, and vision-based sensors. The paper analyzes the advantages and limitations of each sensor type, and discusses how they can be combined for improved performance. It also discusses the application of these technologies in SLAM (Simultaneous Localization and Mapping), obstacle avoidance, and navigation. The paper concludes with a discussion of future research directions and challenges in the field of indoor sensing for AMRs.This paper reviews sensing technologies for indoor autonomous mobile robots (AMRs). It discusses the benefits and challenges of using single sensors, introduces basic principles and popular algorithms for processing sensor data, and presents mainstream multi-sensor fusion technologies. It also discusses future development trends and practical challenges in indoor sensing for AMRs. The paper emphasizes the importance of sensing technologies in enabling AMRs to perform localization, mapping, obstacle avoidance, and other tasks. It covers various sensing technologies, including inertial measurement units (IMUs), ultrasonic sensors, infrared sensors, LiDAR, and vision-based sensors. The paper analyzes the advantages and limitations of each sensor type, and discusses how they can be combined for improved performance. It also discusses the application of these technologies in SLAM (Simultaneous Localization and Mapping), obstacle avoidance, and navigation. The paper concludes with a discussion of future research directions and challenges in the field of indoor sensing for AMRs.