This article designs an intelligent care robot with a robotic arm that can autonomously navigate and perceive grasping to meet the diverse and complex needs of the elderly for care. Firstly, the simultaneous localization and map building (SLAM) function is implemented using the Cartographer algorithm. Secondly, the SHS path planning method is implemented for autonomous navigation. Furthermore, the Y-GGCNN network is used for precise object pose analysis and grasping. Those above enable care robots to demonstrate excellent adaptive ability and efficient operational performance in handling complex community care tasks, such as assisting the elderly, serving tea and water, opening doors, picking up parcels, and covering blankets. Experiments have shown that autonomous navigation and perceptual grasping can effectively improve the operational accuracy and response speed of care robots in real-world environments. This system provides an efficient and intelligent care solution for community elderly care in an aging society, solving the shortage of human caregivers. It is suitable for hospitals, nursing homes, homes and other places.