The research activity focuses on optimizing route planning as the basis for efficient navigation. By analyzing the kinematic diagrams for the working fluid distribution system of a planetary hydraulic motor, the study aims to improve the output characteristics of the motor. This involves selecting the appropriate kinematic diagrams to ensure optimal fluid distribution, thereby enhancing the motor's performance. The research will contribute to the development of more efficient navigation systems, which is crucial for various applications, including transportation and logistics. The study will also explore the potential of machine learning methods for improving route planning, making it more accurate and efficient. By combining these approaches, the research aims to create a more comprehensive and effective navigation system.