According to the enterprise research app, the patent for “a robot interaction control method and server based on a diffusion strategy” applied for recently by Yushu Technology Co., Ltd. was granted. According to the patent abstract, the invention belongs to the field of robot control technology. Existing robot control models lack accurate knowledge of the robot's state at every moment in the future, and cannot understand robot movements. The invention is a robot interaction control method based on a diffusion strategy, which predicts changes in the scene by constructing a scene understanding model, a scene interaction prediction model, and a diffusion strategy decision model to obtain interactive scene change information; then processing the interactive scene change information, can directly generate robot control instructions, so that the robot can accurately recognize the robot's future state at every moment in the future and can accurately understand the robot's movements, thereby achieving control from the scene side to the robot action side, improving the accuracy and reliability of robot control, and improving robot response speed , simplifying the control process and enabling the robot to adapt to various scenarios.

According to the enterprise research app, the patent for “a robot interaction control method and server based on a diffusion strategy” applied for recently by Yushu Technology Co., Ltd. was granted. According to the patent abstract, the invention belongs to the field of robot control technology. Existing robot control models lack accurate knowledge of the robot's state at every moment in the future, and cannot understand robot movements. The invention is a robot interaction control method based on a diffusion strategy, which predicts changes in the scene by constructing a scene understanding model, a scene interaction prediction model, and a diffusion strategy decision model to obtain interactive scene change information; then processing the interactive scene change information, can directly generate robot control instructions, so that the robot can accurately recognize the robot's future state at every moment in the future and can accurately understand the robot's movements, thereby achieving control from the scene side to the robot action side, improving the accuracy and reliability of robot control, and improving robot response speed , simplifying the control process and enabling the robot to adapt to various scenarios.