本文为IPO早知道原创 作者｜ Stone Jin 微信公众号｜ipozaozhidao 据IPO早知道消息，轻舟智航（QCraft，以下简称"轻舟"）日前完成D轮新一轮融资1亿美元。本轮 融资由某国内头部主机厂、宁波宁海兴泰合基金、梁溪科创产业母基金（博华资本管理）、华德科 创、某头部汽车电子零部件公司等产业投资方及投资机构联合投资。资金一方面用于加大世界模型 +强化学习等前沿物理AI技术研发，另一方面加大公司组织人才建设，为公司发展储备力量。 轻舟智航联合创始人、董事长兼 CEO于骞博士表示："2026年，人类正处在AI发展的关键分水岭。 我们正从类人智能向超人智能 阶段迈进。未来5到10年，更大的机遇在物理世界，这正是自动驾驶 最激动人心的地方。自动驾驶是通往物理AI的最佳入口。基于这一判断，公司将战略重心大幅向L4 自动驾驶及通用物理AI倾斜，并加速海外布局。同时加码世界模型+强化学习技术研发，以技术驱动 未来，坚定向通用物理AI迈进。" 宁波宁海兴泰合基金执行事务合伙人委派代表高燕辉表示 ："轻舟智航是中国智驾第一梯队中商业路 径清晰、量产节奏最稳健的玩家之一。在技术厚度与工程落地之间，轻舟找到了效 ...

Core Insights - The article emphasizes that autonomous driving is a key pathway to physical AI, as reiterated by NVIDIA's CEO Jensen Huang at CES 2026 [1] - Chinese pioneers in embodied intelligence, such as Dr. Chen Yilun of Itstone, have been exploring this connection for a longer time, highlighting the technical commonality between autonomous driving and embodied intelligence [1][3] Group 1: Technical Insights - Autonomous driving is considered a critical sub-task of embodied intelligence, representing the ability of agents to navigate in complex, dynamic physical environments [3] - The end-to-end systems in autonomous driving unify perception, decision-making, and planning, providing a fundamental framework for robots to understand and act in the physical world [3] - The demand for high-quality, real-world data in embodied intelligence is ten times greater than that of autonomous driving, which is essential for driving significant advancements in intelligence levels [3] Group 2: Data Innovations - Itstone has made innovative breakthroughs in data collection by proposing a "human-centric" paradigm, launching the world's first open-source multimodal dataset for embodied intelligence in December 2025 [4] - The "World In Your Hands" dataset enables unprecedented high-quality data for model training, significantly improving the success rate of robotic operations in chaotic environments from 8% to 60% [4] - The data collection suite developed by Itstone achieves centimeter-level motion capture precision and outputs high-density data streams, facilitating the collection of 1.8TB of data in just five hours by a single collector [5][6] Group 3: Strategic Implications - Itstone's comprehensive understanding of technology and engineering systems is driving the transition of embodied intelligence from laboratory settings to real-world applications [6] - This exploration is not only about advancing a single technology but also represents a significant step towards achieving general physical AI [6]

Core Insights - RIVR aims to solve the "last mile" delivery challenge using general physical AI technology, focusing on the integration of robotics in urban automation [1][3][4] Group 1: Company Background and Vision - RIVR was founded to address the lack of scalable training data for bipedal robots, which is crucial for developing general physical AI [3][5] - The company views "last mile" delivery as an ideal scenario for training data collection, with millions of potential delivery tasks in the U.S. alone [3][4] - RIVR's unique approach combines the advantages of wheeled and legged robots, enabling efficient long-distance transport and flexibility in navigating obstacles [6] Group 2: Key Lessons and Strategies - A significant lesson learned is that success requires not only advanced technology but also a deep understanding of the market and timing [5] - The company emphasizes the importance of focusing on a vertical application that generates high-value real-world data to drive the development of general physical AI [5][8] - RIVR's clear focus on the "last mile" delivery has aligned team goals and accelerated progress in solving robotic delivery challenges [8] Group 3: Funding and Partnerships - In late 2024, RIVR secured $22 million in seed funding led by Sequoia and Jeff Bezos, which provided the impetus to concentrate on the "last mile" delivery sector [8][11] - The partnership with Sequoia China has enhanced RIVR's supply chain efficiency and cost-effectiveness, showcasing the role of top-tier venture capital in empowering entrepreneurs [11] Group 4: Future Outlook - RIVR aims to become a leading player in the urban robotics sector, starting with wheeled-legged robots and potentially integrating humanoid robots in the future [12] - The company believes its data collection capabilities will create significant barriers to entry for competitors, positioning RIVR as the preferred choice for robotic tasks in urban environments [12]