The global trend of population aging intensified in recent years, prompting numerous countries to adopt targeted measures to address associated challenges. Concurrently, assistive technologies for elderly and disabled individuals were integrated into daily life to enhance safety and independence. To further safeguard these populations within home environments, this paper introduced a wheeled home service robot equipped with ROS and SLAM frameworks, augmented by LiDAR sensors. The system demonstrated capabilities in indoor positioning, real-time mapping, and continuous multi-point navigation. During operation, the robot collected and analyzed environmental data—including temperature, humidity, smoke levels, and external rainfall—while providing voice alerts for critical conditions. Through iterative testing, the robot achieved reliable indoor autonomous navigation and delivered real-time alerts and automated control responses to abnormal environmental parameters. This design and experimentation represented a meaningful advancement in the home service robotics sector, offering a scalable solution for aging populations and individuals with disabilities.