This paper proposes a new method for autonomous indoor sensor-less navigation rover which works with the Haversine formula and bearing angle calculations, which eliminates the need for conventional sensors. By using the Haversine formula alongside with bearing angle calculations, the rover can find the direction without the sensors, that are used manually to estimate direction, to the target based on its current position. By integrating the Haversine formula with bearing angle calculations, the rover can autonomously determine the direction to its target coordinates based on its current location or coordinates [1]. The bearing angle provides the orientation data, allowing the rover to determine direction to its destination accurately without the use of any external sensors. This design of sensor-less not only cuts the overall system costs but also simplifies the overall design and structure. The method has been efficiently tested through various simulations, analysis and experiments, proving its potential application on logistics, indoor navigation and CSAR tasks. Avoiding the usage of sensor-based systems, this method provides an important advancement in indoor navigation rover, providing a robust and cost-effective solution where traditional sensors might be inefficient and cost-effective. This sensor-less navigation rover or system places a notable milestone progress in autonomous indoor navigation development, explaining that precise path finding can be achieved through mathematical models alone [2]. The experiment’s findings emphasize the model’s effectiveness in indoor environments and its application on a range of applications, paves the path for future development and draw focus on implementation in numerous autonomous indoor navigations scenarios.