Core Viewpoint - Qingdao Zhenghe Industrial Co., Ltd. and Beijing Xingyuan Intelligent Robot Technology Co., Ltd. have signed a strategic cooperation agreement to leverage their strengths in smart hardware and multimodal large model technology for the development of intelligent robots [2][6]. Group 1: Strategic Cooperation Focus - The collaboration will focus on seven core areas to establish a comprehensive collaborative innovation system [3]. - Both parties will develop a dexterous hand with autonomous perception, planning, decision-making, and adaptability for humanoid robots, collaborative robots, and robotic arms [4]. - Xingyuan Intelligent will utilize its core technology in embodied intelligence and multimodal operation models to develop a large model for the dexterous hand and conduct real-world testing [4]. Group 2: Technical and Product Development - Based on Zhenghe Industrial's chain-type intelligent dexterous hand, both companies will collaborate on scenario training, data collection, and model iteration [5]. - A project working group will be established to promote cooperation in technology, products, and scenarios, with regular communication mechanisms [5]. - Zhenghe Industrial will invite experts from Xingyuan Intelligent to advise on the development of the dexterous hand, model adaptation, and business expansion [5]. Group 3: Resource Sharing and Market Development - Both companies will open necessary technical interfaces and scenario data to jointly create training and pilot application scenarios [5]. - Zhenghe Industrial will conduct scenario training and technical validation of Xingyuan Intelligent's models in its automated production lines [5]. - The partnership aims to develop various industrial or commercial scenarios, sharing resources and promoting the deployment and sales of their products [5]. Group 4: Vision and Future Development - The agreement aims to establish a strategic partnership, with Xingyuan Intelligent focusing on creating a universal embodied brain that connects digital intelligence with the physical world [6]. - Zhenghe Industrial will integrate hardware and software to achieve versatile functions in specific industrial and commercial scenarios [6]. - The collaboration is expected to deepen technical integration and resource synergy, providing a pathway for Zhenghe Industrial's business layout in the field of embodied intelligent robots [6].

以下文章来源于硬氪 ，作者黄楠 硬氪 . 专注全球化、硬科技报道。36kr旗下官方账号。 在无需遥控与规则编程的前提下， 实现全自主工作与动态环境应对。 文 ｜ 黄楠 编辑 ｜ 袁斯来 来源｜ 硬氪（ID：south_36kr） 封面来源 ｜ 企业供图 硬氪获悉，北京千诀科技有限公司（以下简称"千诀科技"）近日完成近亿元Pre-A++轮融资。我们总结了本轮融资信息和该公司几大亮点： 融资金额及投资机构 融资轮次： Pre-A++轮 融资规模： 近亿元 投资方： 六家知名投资机构及老股东共同参与；Maple Pledge枫承资本长期出任私募股权融资顾问 资金用途： 将主要用于技术研发投入、核心团队人才扩充与全球商业化拓展 公司基本信息 成立时间： 2023年6月 注册地址： 北京市，孵化自清华大学类脑中心 数据层面，企业已构建全球已知范围内的最大规模纯实采家庭场景数据集，累计沉淀亿级规模具身感知与决策预训练数据，覆盖家庭服务、物流、工业运维 等多元场景；同时基于自研的数据标注工艺，可获取任务拆解序列及机器人抓取轨迹等定制化数据，能够独立实现从数据采集、清洗、标注到模型训练的一 体化。 针对规模化落地中技术门槛高 ...

Core Insights - Qianjue Technology is developing a "brain in a jar" system that evolves across forms and scenarios, advancing embodied intelligence from single model capabilities to a system-level brain [1][3]. Financing and Growth - Qianjue Technology recently completed nearly 100 million yuan in Pre-A++ financing, with participation from six well-known investment institutions and existing shareholders. The funds will focus on the R&D of large models for embodied intelligent decision-making and planning, team building, and global commercialization [3]. - Since its establishment in June 2023, the company has completed seven rounds of financing, aiming to develop a universal intelligent base adaptable to various robotic hardware [3]. Unique Technological Approach - Unlike traditional "layered" and "end-to-end" approaches in embodied intelligence, Qianjue Technology employs a brain-like architecture that divides complex tasks into collaborative models for vision, hearing, decision-making, interaction, and memory. This allows for full-stack autonomy from chip to algorithm, enhancing flexibility and reliability for future system iterations and scene adaptations [4]. - The company has completed three generations of pre-trained "embodied brains," capable of autonomously executing a full loop of "perception - decision - action" without human prompts or pre-programmed rules [4]. "Brain in a Jar" Concept - The founder, Gao Haichuan, emphasizes that the company is not just creating an "intelligent brain" but a "brain in a jar" that can independently learn and evolve, allowing for rapid adaptation to different robotic forms. This decoupling of "brain" and "body" is crucial for addressing the challenges of diverse robotic forms and fragmented scenarios in the future [6][7]. Data and Engineering - Qianjue Technology has built the world's largest known dataset of pure real-world family scenarios, accumulating hundreds of millions of data points for embodied perception and decision-making training, covering various scenarios such as home, logistics, and industrial operations [9]. - The company has established an automated training data pipeline to lower the barriers to application, transforming traditional deep involvement from "secondary developers" to "direct users," significantly reducing the costs of robot application and adaptation [11]. Market Deployment Goals - The company has achieved comprehensive adaptation of its solutions to various mainstream robotic forms, including bipedal humanoid, wheeled, drone, quadruped, and vacuum robots, with several projects entering large-scale application phases. By 2026, Qianjue Technology aims to have over 100,000 robots equipped with its "embodied brain" [12]. - The self-developed Polibrain OS robot brain system is in the external validation phase, designed to integrate perception, decision-making, and control capabilities into a reusable and scalable universal intelligent base [12]. Addressing Industry Pain Points - Qianjue Technology's solutions address two core issues: the cost of environmental modification and the ability to respond to unexpected situations. Unlike traditional rule-based solutions that require significant physical modifications to deployment environments, Qianjue's autonomous decision-making model eliminates the need for such modifications [13]. - The largest current application scenario involves semi-service and household cleaning, such as hotel cleaning and public area maintenance, where the robots' core value lies in their autonomous decision-making capabilities rather than extreme dexterity [14]. Future Outlook - According to QYResearch, the global market for general brains in embodied intelligent robots is expected to grow at a compound annual growth rate of 52.0% from 2025 to 2031. The rapid growth of humanoid robots will continue to drive demand for universal intelligent bases [16]. - Qianjue Technology's unique brain-like partition architecture and "brain in a jar" concept are pushing the evolution of robotic intelligence from single model capabilities to a new stage of system-level brain development, potentially providing a replicable and scalable paradigm for the entire embodied intelligence industry [16].

近日，孵化自清华大学类脑中心的北京千诀科技有限公司（以下简称"千诀科技"），成功完成近亿元Pre- A++轮融资。 本轮融资由六家知名投资机构及老股东联合参与，Maple Pledge枫承资本长期担任私募股 权融资顾问，所获资金将重点用于技术研发升级、核心团队扩充及全球商业化布局。 千诀科技成立于 2023年6月，深耕具身智能领域决策与规划大模型的研发及应用，其生态定位对标美国头 部企业Physical Intelligence。不同于行业主流的"分层"或"端到端"技术路径，该公司采用独特的类脑分 区架构，通过模拟人脑功能分区，将复杂智能任务拆解为视觉、听觉、决策、交互、记忆等多个协同工作 的区域分化大模型，而非依赖单一庞大模型，实现了从底层芯片到上层算法的全栈自主可控。 此外，千诀科技正推进自研机器人大脑系统 Polibrain OS进入对外验证阶段。该系统基于统一类脑架构， 面向机器人感知、决策与控制能力进行系统级协同与工程化整合，旨在为多形态机器人提供可复用、可扩 展的通用智能底座。目前，Polibrain OS的统一感知层已完成工程化打磨，计划在可控范围内启动对外验 证，探索"一套感知覆盖多形态机器人 ...

作者｜黄楠 编辑｜袁斯来 硬氪获悉，北京千诀科技有限公司（以下简称"千诀科技"）近日完成近亿元Pre-A++轮融资。我们总结了本轮融资信息和该公司几大亮点： 融资金额及投资机构 融资轮次：Pre-A++轮 融资规模：近亿元 投资方：六家知名投资机构及老股东共同参与；Maple Pledge枫承资本长期出任私募股权融资顾问 资金用途：将主要用于技术研发投入、核心团队人才扩充与全球商业化拓展 公司基本信息 成立时间：2023年6月 注册地址：北京市，孵化自清华大学类脑中心 企业定位：千诀科技专注具身智能领域决策与规划大模型的研发与应用，生态位对标美国头部企业Physical Intelligence，其自主研发的具身大脑可适配多种 机器人硬件，目标在于突破传统机器人任务局限，实现全自主工作与动态环境应对。 技术路线：不同于业界主流的"分层"或"端到端"路径，千诀科技采用类脑分区架构，通过模拟人脑功能区，将复杂的智能任务解构为视觉、听觉、决策、交 互、记忆等协同工作的区域分化大模型而非依赖单一的庞大模型，可以实现从底层芯片到上层算法的全栈自主可控。 硬氪了解到，千诀科技目前已完成三代"具身大脑"的预训练工作。在运行 ...

端侧部署定义高阶智能。 本文为IPO早知道原创 作者｜ Stone Jin 微信公众号｜ipozaozhidao 深耕场景：让机器人大脑赋能千行百业 星源智的核心愿景是打造一个可跨越机器人本体的高泛化性通用大脑，其本质是连接数字智能与物理 世界的"物理AI"系统。据悉，公司创始团队汇聚了来自智源研究院、京东、北京大学、中科院等平 台的顶尖科学家与商业领袖，旨在让机器人不仅"看见"与"理解"世界，更能基于对物理环境的精准 认知，进行自主规划与实时决策。 为此，星源智构建了业内内涵最为丰富的全栈式具身技术体系，涵盖了从物理世界的多模态感知与数 字化重建、多模态具身世界模型，以及面向导航与操作任务的感知决策规划一体化模型等。这一完整 的技术栈，是实现机器从"感知智能"迈向"行动智能"的关键基础设施。 在通往物理AI的道路上，星源智不仅着眼星辰大海，也脚踏实地深耕场景落地——公司成立四个多月 来，与各大产业方的合作捷报频传。今年9月1日，北京亦庄机器人科技产业发展有限公司与星源智 签署战略合作协议，围绕具身智能机器人的技术研发、场景应用与市场推广展开全面合作，三年内完 成不低于五亿元订单； 11月11日，全球最大电动 ...

Core Insights - The article discusses the importance of profitability strategies in the robotics industry, particularly focusing on research scenarios as a common theme among companies [1] - It highlights the competitive landscape where traditional robotics manufacturers are transitioning while new companies are emerging, emphasizing the significance of differentiated competition [1] - The article identifies various educational scenarios for the deployment of robotics, suggesting that education is a promising area for industry exploration and development [1] Group 1: Community and Collaboration - The community has established a closed-loop system covering multiple fields such as industry, academia, job seeking, and Q&A exchanges [3] - It has compiled over 30 technical routes to assist users in finding benchmarks, reviews, and learning paths, significantly reducing search time [4] - The community invites industry experts to engage in discussions, providing insights into the latest developments and challenges in the field [4] Group 2: Research and Learning Resources - The community offers a comprehensive collection of open-source projects, datasets, and mainstream simulation platforms related to embodied intelligence [13][19] - It provides detailed learning routes for beginners and advanced researchers, covering various aspects of embodied intelligence and robotics [8][10] - The community has compiled a list of well-known robotics companies and research institutions, facilitating networking and collaboration opportunities [19][22] Group 3: Technical Insights - The article outlines various technical topics such as data collection, multi-sensor fusion, and the development of visual language models [5] - It discusses the significance of simulation platforms and the challenges associated with real-to-sim and sim-to-real transitions in robotics [10][14] - The community emphasizes the importance of tactile perception and collaborative sensing in advancing robotic capabilities [12][14]

Core Viewpoint - The article discusses the emergence of a new industrial revolution driven by AI, particularly focusing on the development of embodied intelligence and its potential to solve last-mile delivery challenges in logistics [5][10]. Group 1: Company Overview - Liu Dong, the founder of Xingyuan Intelligence, previously worked at JD Logistics, where he identified the last-mile delivery problem that existing automated solutions could not address [5][18]. - Xingyuan Intelligence recently completed a 200 million yuan angel round of financing, with investments from various venture capital and industry players [9][14]. - The company aims to develop a "general embodied brain" that can enhance the capabilities of robots in logistics and delivery [12][20]. Group 2: Technical Approach - The company has chosen a layered architecture for its embodied intelligence system, separating the "brain" responsible for perception and planning from the "small brain" that executes actions [12][22]. - Liu Dong believes that the current industry lacks a low-cost method to obtain real machine data, making pure end-to-end models impractical at this stage [11][23]. - The layered approach allows robots to start working and accumulate data, which can later be used to train more advanced models [23][24]. Group 3: Market Strategy - Xingyuan Intelligence operates a dual-track business model, acting as both a Tier 1 supplier providing integrated solutions to robot manufacturers and a contractor offering complete robotic solutions to end customers [14][30]. - The company focuses on specific scenarios such as picking robots for supermarkets and pharmacies, which are seen as the fastest to implement and generate revenue [36][42]. - The pricing strategy for their robotic solutions aims to keep costs low, making it attractive for clients to replace human labor with robots [38][39]. Group 4: Commercial Viability - The company has identified clear revenue growth paths and market opportunities, with expectations for picking robots to be operational by next year [45][46]. - Liu Dong emphasizes that the ability to implement solutions in real-world scenarios is crucial for the survival and success of the company [13][46]. - The company plans to leverage its technology to address various applications, including navigation and inspection, which can quickly lead to revenue generation [43][44].

Group 1 - Chengdu's humanoid robot innovation center has developed the first domestic robot task execution system (R-WMES) based on a world model, marking a significant milestone in intelligent humanoid robot capabilities [2] - The world model framework mimics human brain thinking by learning physical and causal laws from the real world, enabling robots to autonomously plan and execute tasks based on target images [2] - The R-WMES system demonstrates strong adaptability and task completion in unfamiliar environments, addressing the intelligence gap in humanoid robots and accelerating their practical and commercial application [2] Group 2 - The Ministry of Industry and Information Technology (MIIT) stated that China has established a complete manufacturing capability for humanoid robots, covering key chips, components, and complete machines [5] - Since the 14th Five-Year Plan, 46 cities have been supported in new technology transformation pilot projects, resulting in over 230 excellent smart factories and 1,260 5G factories [5] - China's industrial robot installation accounted for over 50% of the global total, with significant improvements in energy consumption efficiency for products like steel and cement [5] Group 3 - Xingyuan Intelligent, a company focused on embodied intelligence, has completed a 200 million RMB angel round of financing to accelerate the development and commercialization of its embodied brain technology [6] - The company was incubated by the Beijing Academy of Artificial Intelligence and aims to create a universal embodied brain for the physical world, leveraging a team of top talents in the field [6] - The founding team includes experienced professionals from leading companies, establishing a closed-loop ecosystem of "technical barriers + commercial realization" [6] Group 4 - The Swiss Federal Institute of Technology Zurich has proposed an innovative control framework for legged robots that combines reinforcement learning and multi-head attention mechanisms, enabling precise control and 100% success in obstacle navigation [11] - This method enhances the robot's adaptability to complex terrains by dynamically adjusting its focus based on real-time motion states and environmental data [11] - Both GR-1 and ANYmal-D robots have shown excellent performance in experimental and real-world environments, opening up new possibilities for practical applications [11] Group 5 - Lifeward's seventh-generation personal exoskeleton, ReWalk 7, has received CE certification for the European market, marking a significant milestone in medical device innovation for spinal cord injury rehabilitation [12] - ReWalk 7 features cloud connectivity, allowing users to control the device and track usage data through a smartwatch and mobile app, enabling personalized rehabilitation goals [12] - The new system supports seamless transitions between indoor and outdoor environments and includes one-click activation for stairs and sidewalks, enhancing user independence [12]

Core Insights - The humanoid robot business is gaining attention from investors, with recent orders and developments being a focal point [1] - 2023 is recognized as the year of commercialization for humanoid robots, with companies focusing on prototype development, scenario validation, and mass production [1] Group 1: Market Outlook - Major manufacturers are optimistic about future sales, with predictions of annual shipment doubling in the coming years, potentially exceeding one million units within two to three years [2] - The global humanoid robot market is projected to reach 12,400 units and a market size of 6.339 billion yuan by 2025, with estimates of nearly 340,000 units and over 64 billion yuan by 2030 [2] Group 2: Company Performance - Tianzhun Technology reported a revenue of 65.2684 million yuan in the first half of 2023, a year-on-year increase of 125.39%, with humanoid robot products accounting for 10.93% of total revenue [3] - Aobi Zhongguang achieved a revenue of 435 million yuan, a 104.14% increase year-on-year, with a net profit of 60 million yuan, up 212.77% [3] Group 3: Technological Development - The humanoid robot supply chain consists of perception, decision-making, and execution systems, with over 80% of the industry chain currently localized [5] - Companies are focusing on enhancing technology and global ecosystem development to compete with international leaders [6] Group 4: R&D and Future Plans - Companies like Efort and Zhongyou Technology are actively developing humanoid robot prototypes, with Efort planning to release its first humanoid robots in early 2025 [7] - Other companies, such as Ruishun Technology and Jingye Intelligent, are in the research phase for humanoid robots, monitoring industry trends for potential entry [7]