Exploration is a crucial aspect of autonomous navigation in robotics. Simultaneous Localization and Mapping (SLAM) is a fundamental technique that enables robots to navigate and map unknown environments. Visual Simultaneous Localization and Mapping, or Visual SLAM (VSLAM), is a specific type of SLAM that enables robots to map their surroundings and estimate their own position, i.e., odometry, in real-time using visual input from cameras.