机器人大脑产业跟踪 20251109 摘要 人形机器人研发与汽车智能化、电动化密切相关，自动驾驶技术栈与机 器人自动控制技术具有延伸性，许多机器人研发人员来自汽车领域。 机器人大脑发展面临操作系统实时性和 AI 算法不确定性的双重挑战，大 语言模型的幻觉现象和不同场景的数据差异增加了模型训练难度。 工业场景下的机器人大脑更容易落地，因其项目预算较高，可支持大量 数据采集、分析和训练，实现定制化，而居家养老等场景预算有限。 世界模型通过重构场景数据赋能机器人大脑，但面临数据量挑战，算力 不足是当前主要困难，未来有望通过芯片和云端算力提升解决。 当前机器人大脑更多是特定场景下特定功能的控制系统，而非通用大脑， 构建大脑需要实时操作系统和足够观测算力维持模型推理反馈速度。 解决家庭场景差异化问题仍是障碍，可通过控制目标工作场景中的物品 和数据量提高模型应用性，应先从特定狭义场景机器人应用入手。 中国机器人产业链一旦形成，成本优势明显，但缺乏优秀产品经理定义 和设计产品，应明确初期应用场景，实现快速市场化。 Q&A 当前机器人行业的发展趋势是什么？ 目前，机器人行业的重心正从传统的工业机器人转向更具人形和特殊产品形态 ...

Core Insights - The article discusses the investment strategies and reflections of Wang Sheng, a partner at Inno Angel Fund, particularly in the context of the AI and robotics sectors, highlighting the importance of early investment and the need to adapt to changing market dynamics [2][4][14]. Investment Strategy - Wang Sheng emphasizes the significance of identifying potential winners in the robotics industry, noting that he invested in five out of the top 20 most valuable robotics companies in China, achieving returns ranging from tens to hundreds of times [2][4]. - The investment logic varies among companies, with some being tactical responses to market trends while others are based on strategic foresight regarding the future of intelligent development [2][4]. - There is a reflection on the missed opportunities in investing in multiple promising companies rather than betting on a single champion, suggesting a shift in investment philosophy towards a more inclusive approach [14][16]. Personal Journey - Wang Sheng's background includes a long career in internet and entrepreneurship, transitioning to early-stage investment as he recognized the potential in the mobile internet and entertainment sectors [3][4][5]. - His experiences highlight the importance of personal interest and passion in investment decisions, as he found success in areas he was genuinely interested in, such as entertainment and AI, rather than forcing himself into less appealing sectors [4][62]. Industry Trends - The article notes the rapid evolution of the AI and robotics sectors, with a particular focus on embodied intelligence and the need for a deeper understanding of the technology behind it [24][26]. - Wang Sheng discusses the misconceptions surrounding embodied intelligence, clarifying that it is more about human cognitive processes and learning through interaction rather than merely endowing machines with intelligence [26][27]. - The investment landscape is characterized by a cautious yet proactive approach, with a focus on companies that demonstrate both long-term growth potential and immediate revenue generation [35][36]. Reflections on Investment Philosophy - There is a critical examination of past investment choices, with an acknowledgment that overconfidence in market predictions may have led to missed opportunities [16][19]. - The current investment strategy has shifted to place greater trust in founders and their visions, even when they diverge from the fund's initial assessments [20][21]. - Wang Sheng emphasizes the importance of understanding the people behind the projects, suggesting that strong teams can adapt and thrive even if their initial direction differs from established trends [20][22].

Group 1 - The A-share market is experiencing a strong performance, with the ChiNext Index rising over 3%, driven by the robotics sector [1] - The Robotics ETF (159770) has seen a 2.11% increase, with a trading volume exceeding 270 million yuan, indicating active trading [1] - The ETF has attracted over 50 million yuan in net inflows over two consecutive days, reaching a record high of 7.577 billion yuan in total assets [1] Group 2 - Nvidia is set to launch a new robotic brain product, which has generated significant anticipation in the robotics sector [2] - UTree Technology is preparing to unveil a humanoid robot named "Ballet Dancer," showcasing advanced joint flexibility with 31 degrees of freedom [2] - The 27th China Robot and Artificial Intelligence Competition has commenced, attracting over 6,000 students from nearly 400 universities, focusing on real-world applications of humanoid robots [2] Group 3 - CITIC Securities highlights that major players like Nvidia are advancing humanoid robot development, signaling a shift from technology exploration to large-scale commercialization [3] - Dongfang Securities notes that optimism regarding the industry's future growth is prevalent among manufacturers, with a focus on production challenges and companies with strong manufacturing capabilities [3]

Core Viewpoint - The article discusses a significant talent migration from the autonomous driving sector to the embodied intelligence field in China, highlighting the reasons behind this shift and the potential of the embodied intelligence market. Group 1: Reasons for Talent Migration - Strong financial prospects: The embodied intelligence sector is expected to grow significantly, with the humanoid robot market projected to reach 75 billion yuan by 2029, attracting attention from local governments [3] - High reusability of technology stack: Both embodied intelligence and autonomous driving rely on environmental interaction and real-time decision-making, allowing for the reuse of existing technologies [4] - High demand for talent: There is a projected 409% increase in demand for robotics algorithm engineers by 2025, with high educational requirements making experienced professionals scarce [6] - Transition in original sector: The shift to end-to-end technology is leading to a reduction in high-level autonomous driving teams, providing opportunities for embodied intelligence companies to attract talent [7] Group 2: Industry Insights - The current landscape of autonomous driving has become more defined, with companies like Tesla and Huawei establishing clear models, while the embodied intelligence field remains less certain, offering more opportunities for technical professionals [9] - The influx of talent into the embodied intelligence sector is seen as a high-risk venture, with many individuals potentially failing to establish themselves in this emerging field [9]

致力于打造真正可商业落地的产品级具身大脑。 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，千诀科技日前完成数千万元Pre-A轮融资，本次产业轮融资由追创创投与德同资 本联合领投，杭州特种具身智能机器人上市公司景业智能(688290)投资的产业基金正景智远基金战 略投资，Maple Pledge枫承资本长期提供融资顾问服务。本次融资将主要用于团队扩充和全球商业 化。 成立于2023年6月的千诀科技专注于具身智能最关键的环节——"机器人大脑"，即决策与规划大模 型的研发与应用 。千诀"机器人大脑"目标为让各种形态的机器人都能像人类一样自主观察环境、自 主思考和行动；帮助机器人突破仅能在"特定场景"内执行"单一任务"的局限，进入家庭及商业服务 等更广阔市场。 千诀科技以类脑为特色技术路线，基于全世界最大的家庭场景数据集训练模型，与传统大模型技术路 线相比，不仅训练数据门槛较低、能够大幅降低模型训练成本，而且类脑脉冲方案能够支持机器人低 功耗的长时程、复杂任务工作，让机器人摆脱预编程、遥控器和用户prompt，实现全自主工作。 目前，千诀科技多次在全球顶级 ...