Core Insights - The article discusses the rise of embodied intelligence, highlighting its integration across various industries such as automotive, manufacturing, and the internet, driven by both established giants and emerging startups [8][11][12] - The competition in embodied intelligence is characterized by a lack of established templates, requiring continuous experimentation and deep engagement with practical scenarios to navigate the future landscape [8][11] Industry Trends - Embodied intelligence is seen as a key area for growth, with significant investments from companies like BYD and partnerships like the one between Bosch and Beijing Galaxy General Robotics focusing on smart manufacturing and robotics [9][10] - The automotive sector is identified as a major application area for embodied intelligence, with companies like Xpeng showcasing humanoid robots in manufacturing settings [9][10] Technological Developments - The development of humanoid robots is a focal point, with companies like Hexagon and Tesla leading innovations in hardware and AI integration, which are crucial for overcoming supply chain and manufacturing challenges [10][15] - The emergence of platforms like Nvidia's Isaac GR00T N1 model aims to accelerate the development of humanoid robots, indicating a trend towards open-source and customizable solutions [15] Market Dynamics - The market for embodied intelligence is expected to grow significantly, with estimates suggesting it could become a trillion-dollar industry, similar to previous technological revolutions [11][18] - Companies are entering the embodied intelligence space for various reasons, including seeking new growth avenues, strategic positioning against technological disruption, and addressing internal efficiency needs [11][12] Challenges and Barriers - The implementation of embodied intelligence faces several challenges, including the need for robust digital infrastructure and high-quality data for effective training of AI systems [12][13] - The complexity of integrating various technologies and ensuring effective collaboration among hardware and software components is a significant hurdle for companies [13][14] Future Outlook - The future ecosystem of embodied intelligence may consist of a few dominant platform giants alongside numerous application-focused companies, creating a complex and dynamic market landscape [19][20] - The potential for embodied intelligence to transform various sectors, from manufacturing to healthcare, is immense, with predictions of a collaborative future between humans and robots [18][21]

【环球时报综合报道】编者的话：具身智能正掀起一场跨越汽车、制造与互联网等产业的融合浪潮。无论是坐拥先进产业链的行业巨头，还是在细分领 域"初出茅庐"的初创企业，都纷纷"跨界布局"。这既是为了抢占新的增长曲线，也是在人工智能与物理世界深度融合的赛道上卡位谋篇。然而，诸多挑战仍 横亘眼前，参与具身智能的平台与企业，在未来生态下将呈现何种格局尚未露出端倪。在采访中，行业人士告诉《环球时报》记者，这场竞赛没有既定模 板，唯有持续试错、深耕场景者，才能穿越迷雾，抵达真实的产业未来。 为企业"跨出"崭新增长曲线 "具身智能的核心，是靠 '身体'与环境交互产生智能，形成感知、决策、行动的闭环——就像人学游泳不能只在岸上练习，必须下水。"清华MBA具身智能 俱乐部主席、探月具身智能创始人王明玥告诉《环球时报》记者，具身智能是涵盖硬件、软件、算法的"系统级"智能。2025年人形机器人是具身智能最受关 注的应用形态，已在智能制造的多个领域投入应用。 汽车产业被视为具身智能技术最重要、最具潜力的的应用领域之一。在9日开幕的德国国际汽车及智慧出行博览会上，中国新能源车企小鹏携旗下已进入工 厂实训的智能人形机器人IRON"铁人"亮相， ...