企查查APP显示，近日，宇树科技股份有限公司申请的"一种基于扩散策略的机器人交互控制方法和服 务器"专利获授权。专利摘要显示，本发明属于机器人控制技术领域。现有机器人控制模型缺乏对机器 人未来每个时刻状态的准确认知，无法理解机器人动作。本发明的一种基于扩散策略的机器人交互控制 方法，通过构建场景理解模型、场景交互预测模型、扩散策略决策模型，预测机器人动作对场景的改 变，得到交互场景变化信息；然后对交互场景变化信息进行处理，可以直接生成机器人的控制指令，从 而能够对机器人未来每个时刻状态进行准确认知，并能准确理解机器人动作，因而可以实现从场景端到 机器人动作端的控制，提高机器人控制的精准性以及可靠性，提升机器人响应速度，简化控制过程，使 得机器人能够适应各种场景。 ...

Core Viewpoint - Yushu Technology Co., Ltd. has announced the publication of a patent for a "robot interaction control method and server based on diffusion strategy," which aims to enhance the precision and reliability of robot control through advanced predictive models [1] Group 1: Patent Details - The patent falls within the field of robot control technology [1] - Current robot control models lack accurate knowledge of the robot's future states and cannot comprehend robot actions [1] - The invention constructs a scene understanding model, a scene interaction prediction model, and a diffusion strategy decision model to predict how robot actions will alter the scene [1] Group 2: Technological Advancements - The technology processes interaction scene change information to directly generate control instructions for the robot [1] - This allows for accurate knowledge of the robot's future states and a better understanding of its actions [1] - The innovation aims to improve the precision and reliability of robot control, enhance response speed, and simplify the control process, enabling robots to adapt to various scenarios [1]

Core Viewpoint - Yushu Technology Co., Ltd. has announced a new patent for a robot interaction control method based on diffusion strategies, aimed at improving the accuracy and reliability of robot control [1] Group 1: Patent Details - The patent titled "A Robot Interaction Control Method and Server Based on Diffusion Strategy" was published on November 14 [1] - The invention falls within the field of robot control technology, addressing the limitations of existing robot control models that lack accurate awareness of the robot's future states and actions [1] Group 2: Technological Innovations - The invention constructs a scene understanding model, a scene interaction prediction model, and a diffusion strategy decision model to predict how robot actions will alter the scene [1] - By processing the information on scene interaction changes, the method can directly generate control instructions for the robot, enabling precise awareness of the robot's future states and understanding of its actions [1] Group 3: Benefits of the Invention - The new method enhances the precision and reliability of robot control, improves response speed, and simplifies the control process [1] - It allows robots to adapt to various scenarios effectively, thereby broadening their application potential [1]