编辑｜张倩 一个机器人到底需要多「聪明」，你才愿意把它请进家门？ 前段时间，明星具身智能公司 1X 开始预售其人形机器人 Neo。演示视频中，它能从冰箱取水、叠衣服、把餐具放进洗碗机，俨然一个称职的家务助手。 但问题是，它当时真正能自主完成的，也只有这几件事。至于更多样的日常任务 —— 比如整理散落的玩具、擦拭台面、收纳杂物 —— 在现阶段，大多仍需要工 程师远程教学。 这就多少有些令人迟疑：花费近 14 万元，迎来的不仅是一个「助手」，还可能是一双需要你授权进入家庭隐私空间的「眼睛」。社交网络上，不少人也对这种 「半成品智能」表达了困惑甚至调侃。 这种「演示场景自主、真实任务依赖人工」的割裂状态，恰恰映射出当前具身智能落地的核心挑战： 泛化 能力不足 。 要突破这一瓶颈，业界共识是：需要更大规模、更多样化的 真实机器人数据 来「喂养」模型，使其学习到更本质的任务理解与动作泛化能力。然而，高质量真机 数据的采集成本极高，且不同构型机器人的数据难以复用，导致大多数模型仍只能在有限数据或仿真环境中训练，难以实现真正的跨任务、跨本体泛化。 在这一背景下，蚂蚁灵波开源发布的 第一款具身智能基座模型 LingBot-V ...

Core Viewpoint - The article emphasizes the importance of continuous evolution and adaptability in robotics, particularly through the introduction of the Imeta-Y1, a lightweight and cost-effective robotic arm designed for beginners and researchers in the field of embodied intelligence [2]. Group 1: Product Introduction - Imeta-Y1 is designed specifically for novices and researchers, providing a low-cost and efficient solution for algorithm validation and project development [2]. - The robotic arm features high-precision motion control, low power consumption, and an open hardware and software architecture, facilitating seamless integration from simulation to real-world applications [5]. Group 2: User-Friendly Features - The product offers a comprehensive open-source toolchain and code examples, enabling users to complete the entire process from data collection to model deployment [3][17]. - It supports dual programming languages (Python and C++) and is compatible with ROS1 and ROS2, allowing users to quickly adapt regardless of their programming background [3][18]. Group 3: Technical Specifications - The Imeta-Y1 has a weight of 4.2 kg, a rated load of 3 kg, and 6 degrees of freedom, with a working radius of 612.5 mm and a repeat positioning accuracy of ±0.1 mm [8][19]. - The arm operates at a supply voltage of 24V and utilizes CAN communication, with a control method that includes trajectory tracking, teaching, and API [19]. Group 4: Development and Support - The product provides a full-process toolchain for data collection, model training, and inference deployment, supporting multi-modal data fusion and compatibility with major frameworks like TensorFlow and PyTorch [36]. - The company ensures rapid customer support with a 24-hour response time and offers bulk purchase discounts, as well as project development and training services [19][48].

Core Viewpoint - A Chinese company, Qianxun Intelligent, has achieved a significant milestone by surpassing the Silicon Valley company Physical Intelligence in the global embodied intelligence model rankings, securing the top position with its open-source model, Spirit 1.5 [1][2]. Group 1: Global Ranking and Performance - The RoboChallenge Table30 is the first large-scale real-robot evaluation ranking, assessing robots on 30 practical tasks, which provides a more accurate measure of performance compared to previous self-reported rankings [2]. - Qianxun's Spirit 1.5 scored 66.09, achieving a success rate of over 50%, surpassing the previous leader, Pi0.5, which had a score of 61.84 and a success rate of 42.67% [3]. Group 2: Technological Innovation - Qianxun's success is attributed to its unique approach called "Diverse Collection," which allows robots to learn from real-world scenarios without predefined scripts, leading to a 40% increase in transfer learning efficiency compared to traditional methods [4][5]. - The company emphasizes the importance of training models with diverse, real-world data to enhance their adaptability and performance in complex tasks [5]. Group 3: Team and Funding - Qianxun's founding team includes Han Fengtang, a former CTO of Lush Robotics, and Gao Yang, a Tsinghua University graduate and Berkeley PhD, both of whom bring extensive industry experience and expertise [6][8]. - The company has rapidly secured funding, completing multiple financing rounds since its establishment in February 2024, with the latest round raising nearly 600 million, led by JD.com [8][9]. Group 4: Market Position and Strategy - Qianxun is categorized as a "soft-hard integrated" player in the embodied intelligence sector, possessing both proprietary software and hardware, which allows for a data feedback loop that enhances model training and hardware performance [12][13]. - The company is positioned to capitalize on the growing demand for robots in logistics and retail, as evidenced by JD.com's investment, which reflects the need for functional robots in real-world applications [9][11]. Group 5: Future Opportunities - The emergence of embodied intelligence is expected to create significant employment opportunities, particularly in roles such as robot algorithm engineers, scene solution experts, and data collection engineers [17][19]. - The industry is anticipated to see a clear differentiation in the next 1-2 years, with companies that cannot access sufficient real-world data likely to fall behind, while those like Qianxun that integrate hardware and software effectively will thrive [21][22].

Core Viewpoint - The article highlights the significant achievement of Spirit v1.5 from Qianxun Intelligent, which has topped the RoboChallenge leaderboard, surpassing the American model Pi0.5, marking a milestone in embodied intelligence models [1][5][9]. Performance Summary - Spirit v1.5 scored 66.09 with a success rate of 50.33%, outperforming Pi0.5, which scored 61.84 with a success rate of 42.67% [2][5]. - The model excelled in various tasks, including stacking bowls (100% success), putting cups on coasters (90%), and searching for green boxes (90%) [3][10][11]. - Spirit v1.5 is the first domestic embodied model to exceed a 50% success rate in RoboChallenge since its launch [3][9]. Data Strategy Innovation - The core innovation of Spirit v1.5 lies in its diverse data strategy during the pre-training phase, shifting from highly controlled "clean data" to a more varied and open data collection approach [33][34]. - This strategy allows for a broader range of actions and better adaptation to real-world uncertainties, enhancing the model's transfer and generalization capabilities [40][44]. Open Source Contribution - Spirit v1.5 has been open-sourced, including model weights, inference code, and usage examples, facilitating further research and development in the field of embodied intelligence [7][68]. - The open-source nature of the model aligns with the goal of promoting reproducible and verifiable advancements in embodied intelligence [71][72]. Company Background - Qianxun Intelligent, established in January 2024, is recognized for its comprehensive AI and robotics capabilities, focusing on general humanoid robots and large-scale models [58][59]. - The company has secured significant funding, including over 1.5 billion yuan in 2025, indicating strong investor confidence and growth potential [61].