2025世界人工智能大会这些新品最值得关注！一文看懂→

Core Viewpoint - The article highlights the significant advancements in robotics showcased at the World Artificial Intelligence Conference (WAIC) 2025, emphasizing the shift from remote-controlled to autonomous robots, driven by new perception-action models and world models developed by various companies [3][4][5]. Group 1: Robotics Developments - Nearly all humanoid robot companies, including Zhiyuan, Yushu Technology, and Galaxy General, showcased their progress at WAIC 2025, with a focus on software advancements rather than hardware changes [4]. - Companies like Tencent and SenseTime introduced perception-action models aimed at improving robot interactions with their environments, marking a paradigm shift in robotics [4][5]. - Zhiyuan's "Genie Envisioner" world model allows robots to pre-visualize actions before execution, enhancing their operational capabilities [10][12][14]. Group 2: Major Product Releases - SenseTime launched the "Wuneng" embodied intelligence platform, enabling robots to understand and interact with their environments effectively [17][18]. - Alibaba announced the development of its first self-developed AI glasses, integrating various functionalities and aiming to enhance user experience [19]. - Tencent released the "Hunyuan 3D World Model," which simplifies 3D scene construction and allows users to generate 360-degree scenes from text or images [20][21]. Group 3: Competitive Landscape - MiniMax and Yuezhi Anmian are competing for dominance in the open-source model community, with both claiming significant achievements in their respective model rankings [8][9]. - The focus of major model companies has shifted towards professional developers rather than general consumers, indicating a strategic pivot in their market approach [8][9]. Group 4: Industry Insights - Industry leaders emphasize the importance of high-precision actuators and sensor integration for the successful deployment of robots in real-world applications [26][27]. - The distinction between world models and multimodal models is highlighted, with world models aiming for deeper environmental understanding and proactive interaction capabilities [28]. - The current investment climate in AI is robust, with a notable increase in funding and interest in AI applications, reminiscent of the mobile internet boom from 2009 to 2014 [42].