Recently, Professor Miao Zhonghua’s research team from the School of Mechanical and Automatic Control Engineering at Shanghai University successfully developed an intelligent laser weeding robot. The achievement has been widely covered by major media outlets including Xinhua News Agency, Shanghainews, Wen Hui Bao, Toutiao, and the "Study Power" learning platform. The robot leverages Shanghai University’s strengths in artificial intelligence, mechanical engineering, and control science, integrating advanced technologies such as AI large models, high-power lasers, and autonomous driving systems. It directly addresses long-standing challenges in traditional agriculture—low weeding efficiency, heavy reliance on manual labor, and environmental harm caused by chemical herbicides—delivering continuous, precise, and efficient green weed control. This innovation offers a new intelligent solution for organic farming. The research team adopted a fully self-developed technology approach, independently designing every core component—from the steer-by-wire chassis and laser modules, to the water-cooling system, intelligent algorithms, and control systems. They innovatively developed a modular laser-vision operation unit capable of multi-unit parallel collaboration. By building a custom dataset of over one million images, the team trained a vision perception large model for crops and weeds, which has been optimized for lightweight deployment. This enables millisecond-level weed recognition and millimeter-level positioning accuracy. Combined with a high-precision laser system, the robot achieves an integrated "identify—locate—eliminate" intelligent weeding loop, significantly enhancing both accuracy and response speed. Equipped with a multi-sensor fusion autonomous driving system, the robot performs high-precision mapping and localization, enabling fully autonomous navigation from the machine garage to the field, along with dynamic obstacle avoidance. Thanks to an active lighting system and adaptive imaging control, the robot operates effectively under any lighting condition, supporting 24-hour continuous operation and overcoming the limitations of traditional weeding methods that depend on daylight. With an adaptive motion compensation mechanism, the robot enables "weeding while moving," solving the technical challenge of maintaining precision during dynamic operation. The entire process relies solely on physical laser energy, eliminating the use of chemical herbicides from the outset. This effectively prevents pesticide residues and addresses long-term ecological issues such as soil contamination, water eutrophication, and biodiversity loss—making it especially suitable for high-value crops like organic vegetables, medicinal herbs, and edible flowers. The robot has already been tested and demonstrated in multiple vegetable farms across Baoshan and Jiading districts in Shanghai, showing promising results. Moving forward, the team will continue refining the AI models, enhancing system performance, and optimizing operational efficiency, aiming to provide sustainable, high-performance smart agricultural equipment to support the development of intelligent and eco-friendly farming.