This project focuses on the development of a mobile olfaction-based robot capable of detecting gas odors, addressing the limitations of traditional gas leak detection methods in Malaysia, which can pose risks to human safety. The robot employs a gas sensor, along with the simultaneous localization and mapping (SLAM) algorithm, to identify areas with gas odors and perform mapping tasks. The robot is equipped with essential components, including a lidar sensor, a metal oxide sensor (MOS), and the Robot Operating System (ROS) software. To evaluate the robot's mapping accuracy, the SLAM algorithm is applied in designated indoor location. Results show that the robot achieved a remarkable map accuracy of 98.46 in closed door room. This validates the effectiveness of both SLAM and the gas sensor's response in real-time monitoring and accurate detection and classification of odors. The potential applications of this research span various industries and research domains due to its ability to precisely detect and classify odors, provide real-time monitoring, and enable seamless data integration and analysis. By deploying this advanced robot, industries can enhance safety measures and mitigate risks related to gas leak detection and management. © 2023 IEEE.