In recent years, robotic sorting technologies have rapidly expanded across various industries, revolutionizing the way objects are arranged, classified, and organized. This study addresses the growing need for efficient and adaptable sorting solutions by developing a flexible robotic system capable of handling different sorting tasks with high accuracy in different environments. The research utilizes a six-degree-of-freedom robotic arm, the Ufactory850, integrated with ROS2, an open-source framework for robot software development, along with MoveIt 2, a motion planning library. The system is further enhanced using computer vision techniques for object recognition, localization, and feature selection. Initially, a static Pick and Place task is implemented using the MoveIt Task Constructor framework, which simplifies planning through a modular, staged approach.