This study presents the development of a cost-efficient autonomous robot specifically designed for laser weed control. This robot integrates a low-power laser system with a computer vision platform for real-time weed detection and a two-degree-of-freedom (DoF) robotic arm for precise laser targeting. This approach addresses key challenges in autonomous laser weeding, including accurate weed detection [19], real-time targeting [20], and minimizing energy consumption while ensuring safety [21, 23]. By optimizing laser exposure duration based on weed species and size, we aim to prevent overburn and address potential environmental concerns associated with conventional laser weed control techniques [21].