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Traditional robot navigation systems often fail to guide robots to avoid sudden obstacles in complex terrain environments, and cannot accurately collect data. To this end, a wheeled robot SLAM navigation system with improved RBPF algorithm is proposed, and the system hardware and software are designed. The system hardware is mainly composed of navigation function modules, chassis drive modules, and control modules. The RPLIDAR A1 laser ranging radar is used to design navigation function modules, and chassis drive modules and control modules are designed. In the software design, based on the improved RBPF algorithm, the implementation program of the wheeled robot SLAM navigation system is designed, and the method of applying algorithm substitution enhances the sensitivity of the ordinary wheeled robot navigation algorithm to particle calculation and Kalman filtering. The experimental results show that the improved RBPF algorithm has advantages in obstacle avoidance and calculation errors, which proves that the system is more convenient than traditional path selection after obstacle avoidance, and the navigation error rate is reduced by about 30%.