The deployment of autonomous mobile robots for assisting people at smart workplaces and universities has increased tremendously over the years. Most existing solutions have utilized expensive location methods such as SLAM with complex sensors and powerful computer processors. This project presents an option to reduce costs while providing a more efficient way of providing a campus indoor guide robot on a defined route. A Raspberry Pi 4 will be used for higher level reasoning and user interaction through a touch-screen while the Arduino Nano will be used for achieving lower-level motor and sensor control, achieving a highly accurate solution. A user will be able to select a destination from a touch-screen and ultrasonic sensors will provide real-time obstacle detection and allow for safe travel through the environment. Motion will be provided byusing DC geared motors controlled by an L298N motor driver. The designed system will reduce compute power needs, create ease of implementation, and increase the dependability of the system. The results of testing performed in corridor systems showed consistent results in navigation, high rates of successfulobstacle avoidance, and stable operation of the system. The results indicated that a defined path way to navigate could be utilized by institutions to provide guide assistance to people.