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1年融资17亿,“华为系”人形企业,如何用“刺绣”解题具身智能?
Sou Hu Cai Jing· 2025-12-26 13:03
在火热的具身智能赛道上,上演了颇具东方神韵的独特一幕。 近日,成立不足一年、已手握17亿人民币融资的明星公司它石智航,正式向外界揭开了其技术面纱。 与行业常见的跑跳、搬运等力量型展示不同,它石智航选择了一条与众不同的路径,亮出了一手"针线活"——在轻薄的布料上穿针引线,最终绣出了自家 公司的Logo。 这是全球首个实现自主刺绣的机器人。 这场发布会,无疑被寄予了极高期待。不仅仅因为这家企业曾刷新中国具身智能行业最大天使轮纪录,也因为其创始人名单星光熠熠:前华为自动驾驶系 统CTO陈亦伦、前华为"天才少年"丁文超、前百度资深副总裁李震宇(也曾任职华为)……这支有着"AI全栈能力最强战队"的团队,究竟会交出一份怎样 的答卷? 它石智航创始人兼CEO陈亦伦博士表示:"一切技术的终极检验标准是:能否打造真正可靠、高效、可大规模部署的『有用』机器人。" 显然,它石的目标不是为了"秀",而是为了"用"。 ▍秀的不只是针线,还有"哥德巴赫猜想" 为什么是刺绣? 线束装配,因其涉及大量高密度线缆接口的识别和精细插拔操作,曾被看作"工业自动化界的哥德巴赫猜想"。它石智航的机器人能够顺滑、精准地完成这 项任务,意味着他们成功攻克 ...
1年融资17亿,“华为系”人形企业,如何用“刺绣”解题具身智能?
机器人大讲堂· 2025-12-26 03:05
Core Viewpoint - The article highlights the innovative approach of the company Itstone Intelligent Navigation, which has developed the world's first autonomous embroidery robot, showcasing its advanced capabilities in the field of embodied intelligence [2][4]. Group 1: Company Overview - Itstone Intelligent Navigation, established less than a year ago, has secured 1.7 billion RMB in funding and aims to create practical robots rather than just showcase technology [2][4]. - The founding team includes notable figures from Huawei and Baidu, indicating a strong background in AI and robotics [4][21]. Group 2: Technological Innovation - The embroidery task is seen as a rigorous test of robotic capabilities, requiring sub-millimeter precision, flexible coordination, and delicate force control [6][8]. - The company has demonstrated that its technology can be applied to complex industrial tasks, such as autonomous wire harness assembly, which has been considered a significant challenge in industrial automation [8][9]. Group 3: Systematic Approach - Itstone has developed a three-part solution named DATA-AI-PHYSICS, which integrates data collection, AI modeling, and hardware design to create a cohesive system [10][20]. - The data collection method is human-centric, utilizing wearable devices to gather real-world data without altering human operation methods [14][15]. Group 4: AI Model Development - The company has built a foundational AI model called TARS AWE 2.0, which addresses common challenges in embodied intelligence, such as spatial recognition and generalization capabilities [17][20]. - This model allows for efficient transfer of learned skills across different tasks and environments, facilitating scalable deployment [17][20]. Group 5: Hardware Design - Itstone's hardware is designed specifically for AI applications, focusing on minimizing the digital-to-physical gap, which enhances the performance of embodied AI models [18][20]. - The robots feature self-developed components that achieve high efficiency in torque control and integrate sensory capabilities for better execution [18][20]. Group 6: Market Position and Future Outlook - The company’s approach is likened to the early days of autonomous driving, emphasizing the importance of data in achieving widespread intelligent robotics [22][23]. - Itstone aims to build a robust technical framework that can adapt and scale, ultimately leading to the deployment of useful robots in everyday life [23].