This paper implements a ROS package for segmenting Point Clouds using Gradual Point Cloud Processing (GPCP). The implementation is integrated with RTAB-Map to produce a segmented point cloud of the environment. The RGB-D SLAM Dataset was used to validate the implementation. The results showed that GPCP can be applied in robotics to achieve simple and low-cost point cloud segmentation, although there is still room for improvement.