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具身智能行业研究:上纬启元Q1正式亮相,宇树腾讯战略合作落地
SINOLINK SECURITIES· 2026-01-11 12:50
核心观点: 机器人:景气度加速向上,马斯克宣布第三代机器人设计定型,发布在即。 全球首款全身力控小尺寸人形机器人"上纬启元 Q1"正式亮相。上纬新材发布全球首款全身力控小尺寸人形机器人 "上纬启元 Q1",采用轻量化路线,通过工程化压缩体型与重量,实现"可打包携带"的产品形态。公司公告显示, 该业务专注于个人与家庭场景,未面向工商业领域,目前仍处于产品开发阶段;对于极客和创作者群体,Q1 因体型小、 结构开放,可适配智元灵创平台及开发接口,成为可反复调试改造的载体。 腾讯 Robotics X 实验室与宇树科技达成战略协作。前者通过 Tairos(钛螺丝)具身智能大模型,为宇树机器人本体 提供人机交互友好的导游导览导购服务支持,共同打造行业应用标杆。Robotics X 实验室以 SDK 和云服务形式输出 规划大模型与多模态感知模型,由宇树科技及生态企业完成系统集成与多场景落地交付。 征和工业发布链式灵巧手"臻手・CHOHO Hand"。征和工业在 "具身智能灵巧手发展开年论坛暨全球首创链式灵巧 手发布会"上,发布链式灵巧手"臻手・CHOHO Hand",现场展示其单手 40kg 的承重能力。该产品兼具高承重 ...
无需人工标注,轻量级模型运动理解媲美72B模型,英伟达、MIT等联合推出FoundationMotion
机器之心· 2026-01-11 02:17
当前的视频大模型发展迅速,但在面对复杂的空间移动和物理规律时,依然 "看不懂" 物体如何运动。 它们或许能描述视频中发生了什么,但如果你问它:"红色的车是在蓝色车转弯之前还是之后通过路口的?" 或者 "那个皮球的抛物线轨迹最高点在哪里?",很多 模型就开始 "胡言乱语" 了。 究其根本,在于高质量运动数据的极度匮乏。现有的数据集要么规模太小,要么依赖昂贵的人工标注,难以支撑模型去学习真实世界中细粒度的物理运动。 项目主页: https://yulugan.com/projects/FoundationMotion.html 论文: https://arxiv.org/abs/2512.10927 代码: https://github.com/Wolfv0/FoundationMotion 视频模型的 "物理盲" 危机 2024 年至今,被认为是视频生成模型的爆发期。从 OpenAI 的 Sora 到各类国产模型,AI 已经能够生成极其逼真的动态画面。然而,在华丽的像素背后,一个长期 被忽视的问题逐渐暴露出来: 针对这一痛点,来自 MIT、NVIDIA、UC Berkeley 等机构的研究者提出了 Founda ...
黄仁勋的“物理 AI 革命”:Alpamayo 让自动驾驶学会 “思考”
3 6 Ke· 2026-01-07 03:48
当 ChatGPT 重构人类与文字的交互逻辑时,英伟达 CEO 黄仁勋在 CES 2026 的舞台上抛出了一个更具颠覆性的判断:"物理 AI 的 ChatGPT 时刻已到来 —— 机器开始理解、推理并在真实世界中行动。" 这场近一个半小时的演讲里,名为 "Alpamayo" 的自动驾驶 AI 系统成为绝对主角,它不仅是英伟达在 智驾领域的又一次技术跃迁,更标志着自动驾驶从 "数据驱动" 向 "推理驱动" 的关键转折。 从 "被动响应" 到 "主动思考",Alpamayo 破解自动驾驶 "长尾死结" 在自动驾驶行业,"长尾问题" 始终是悬在所有玩家头顶的达摩克利斯之剑 ——99% 的常规路况可通过数据训练覆盖,但剩下 1% 的罕见场景(如交通信 号灯故障、突发横穿马路的动物、极端天气下的路面结冰),却可能成为安全事故的导火索。过去,行业的解决方案是 "堆数据",试图用百万甚至亿级 公里的路测数据覆盖所有可能性,但这不仅成本高昂,更无法应对 "从未出现过的场景"。 Alpamayo 的出现,恰恰提供了另一条路径。作为业界首个思维链推理 VLA(视觉 - 语言 - 动作)模型,它的核心突破在于让自动驾驶系统拥有了 ...
英伟达开源智驾模型,想定义 “物理 AI 的 ChatGPT 时刻”
晚点Auto· 2026-01-06 02:59
Core Viewpoint - The article discusses NVIDIA's advancements in the autonomous driving sector, particularly the launch of the open-source VLA model Alpamayo, which aims to enhance the capabilities of self-driving vehicles and compete in the market against local Chinese manufacturers [3][4][9]. Group 1: NVIDIA's Innovations - NVIDIA's CEO Jensen Huang announced at CES 2026 that the future will see 1 billion vehicles achieving high or full automation, with autonomous taxis being one of the first beneficiaries [3]. - The Alpamayo model, featuring a 10 billion parameter architecture, is designed to support Level 4 autonomous driving and is the first open-source AI system capable of reasoning and decision-making for self-driving vehicles [4][5]. - The Alpamayo series includes simulation tools and an open dataset with over 1,700 hours of driving data, providing a comprehensive foundation for developers [4]. Group 2: Competitive Landscape - Despite NVIDIA's advancements, local Chinese companies like Li Auto, Xpeng, NIO, and Huawei have already developed similar models, indicating a competitive landscape where NVIDIA is not the frontrunner [4][5]. - NVIDIA faces immediate challenges in the Level 2 assisted driving market, where it has announced a partnership with Mercedes-Benz to deploy its full-stack assisted driving solution in the 2025 model of the CLA [5][7]. - The collaboration with Mercedes-Benz involves a dual-system approach, combining an end-to-end AI system with a traditional safety-certified system to ensure reliability in complex driving scenarios [7]. Group 3: Market Opportunities and Challenges - NVIDIA's strategy includes targeting overseas markets, where the penetration of assisted driving solutions is still low compared to China, presenting significant opportunities for growth [9]. - The company is working to improve its autonomous driving solutions, with plans for quarterly software updates to enhance user experience following previous setbacks in the Chinese market [8][9]. - Despite being behind local competitors in China, NVIDIA aims to regain its influence in the autonomous driving sector through strategic partnerships and technological advancements [9].
CES 2026|禾赛规划年产能翻番至 400 万,泰国海外工厂 2027 年初投产
Jin Rong Jie· 2026-01-05 14:38
强大的自研智造能力是禾赛规划年产能翻番的底气。禾赛自建的集研发与生产制造于一体的综合中心, 为大规模量产奠定了坚实基础,也确保了禾赛高质量激光雷达在规模化生产中的高度一致性与稳定性。 通过自主研发四代专用 ASIC 芯片,禾赛已经实现了产品快速迭代、高可靠性及可全球复制的规模化生 产能力。目前,禾赛全自动化生产线平均每 10 秒即可下线一台激光雷达。 此外,禾赛在泰国曼谷的新工厂——"伽利略"的建设正稳步推进,预计 2027 年初投产。伽利略工厂将 进一步提升禾赛全球产能布局,有力支撑未来业务增长。 当地时间 2026 年 1 月 5 日,在美国拉斯维加斯国际消费类电子产品展 CES 2026 上,全球激光雷达领 导者禾赛科技(NASDAQ: HSAI; HKEX: 2525)宣布,为满足 ADAS 及机器人领域日益增长的激光雷 达需求,公司规划年产能将由 2025 年的 200 万台提升至 2026 年的 400 万台,实现翻倍增长。此外,禾 赛在泰国曼谷的新工厂建设正稳步推进,预计 2027 年初投产。 自研智造支持产能翻番,超大规模量产交付时代已来 禾赛是全球首个年产量突破 100 万台和累计量产并交付 ...
小鹏拆掉过去的自己,再战 “物理 AI”
晚点LatePost· 2025-11-26 08:46
Core Insights - The article discusses how Xiaopeng Motors is shifting its focus towards advanced technologies, particularly in the realm of "physical AI," which encompasses autonomous driving, robotics, and flying cars [2][20]. Group 1: Technological Innovations - Xiaopeng Motors has introduced a new autonomous driving model called VLA (Vision-Language-Action), which aims to deploy AI reliably in real-world scenarios [3][20]. - The second generation of the VLA product has been designed to be more "human-like," capable of interpreting gestures and navigating complex traffic situations [3][4]. - The company is also focusing on humanoid robots, with the latest iteration showcasing advanced design features that enhance its mobility and human-like characteristics [4][7]. Group 2: Strategic Shifts - Xiaopeng's leadership emphasizes the need to dismantle past successful experiences to foster innovation and adaptability in a rapidly changing technological landscape [4][10]. - The company is moving away from traditional modular approaches to a more streamlined, end-to-end architecture for its autonomous driving technology [10][12]. - The strategy includes a dual approach where one team iterates on existing products while another focuses on new technologies, ensuring continuous improvement and innovation [13][20]. Group 3: Future Goals and Market Position - Xiaopeng aims to become a global leader in embodied intelligence, with plans to scale production of humanoid robots and advanced autonomous vehicles by 2026 [20][24]. - The company has set ambitious targets, including the production of 1 million robots by 2030, aligning its goals with industry leaders like Elon Musk [23][24]. - Recent financial performance indicates a positive trend, with a cumulative delivery of 350,000 vehicles and a gross margin exceeding 20% in Q3 [19][20].
贝索斯砸 447 亿复出搞 AI,马斯克吐槽“跟屁虫”
程序员的那些事· 2025-11-19 01:55
Core Viewpoint - Jeff Bezos, after four years of retirement, is launching an AI company named "Prometheus Project" with a significant investment of $6.2 billion (approximately 44.7 billion RMB), focusing on "physical AI" that operates in the real world rather than just theoretical applications [4]. Group 1: Bezos's New Venture - Bezos aims to develop AI that can conduct real-world experiments, such as testing wing designs in wind tunnels and optimizing robotic collaboration in automotive production lines [5]. - The project has already attracted nearly 100 top researchers from leading AI teams, including OpenAI and Google DeepMind, indicating a strong talent acquisition strategy [5]. - Bezos is partnering with Vik Bajaj, a key member from Google's X Lab, to oversee operations in aerospace and automotive engineering [5]. Group 2: Musk's Reaction - Elon Musk quickly criticized Bezos's initiative, labeling it as a "copycat" move, reflecting a long-standing rivalry between the two tech giants [6][8]. - Musk's companies, including Tesla and XAI, have been focusing on AI and robotics in manufacturing, which overlaps with Bezos's new project [8]. Group 3: Industry Implications - The simultaneous focus of both Bezos and Musk on "physical AI" suggests a potential surge in this sector, moving beyond theoretical AI applications to practical implementations [10]. - The competition between these two billionaires could accelerate the development of physical AI technologies, benefiting the entire industry, similar to the smartphone wars that led to more advanced products [10]. - Concerns have been raised about the influx of capital into the AI sector, with some investors fearing a potential market correction akin to the 2008 financial crisis [10].
华为投资物理 AI:首家国产世界模型公司“极佳视界”新一轮融资
Sou Hu Cai Jing· 2025-11-12 04:35
Core Insights - The company Jiga Vision announced the completion of a new round of financing amounting to hundreds of millions in the A1 round, led by a well-known industry player and Huakong Fund [1] - The well-known industry player is identified as Huawei Hubble [1] - Jiga Vision is a physical AI company founded in 2023, focusing on "world model-driven general intelligence in the physical world" [3] Company Overview - Jiga Vision specializes in products such as the GigaWorld world model platform, GigaBrain embodied foundational model, and Maker general embodied ontology, representing a full stack of physical AI software and hardware products [3] - The company claims to be the first in China to focus on "world models," which are core technological frameworks in AI for simulating environmental dynamics and predicting future states [3] Industry Context - Huawei's Smart Automotive Solutions BU CEO, Jin Yuzhi, emphasized that Huawei will not pursue the VLA (Vision-Language-Action) path, but rather focus on WA (World Action) for achieving true autonomous driving [3] - The WA approach eliminates the language processing step, directly using visual and other information inputs to control vehicles, which is seen as a more effective route towards genuine autonomous driving [3]
小鹏汽车-W(09868):迈向物理AI新世界,开辟增程新时代
Ping An Securities· 2025-11-09 12:23
Investment Rating - The report maintains a "Recommended" investment rating for the company [1] Core Insights - The company recently held the 2025 Xiaopeng Technology Day, unveiling its second-generation VLA large model, Xiaopeng Robotaxi, a new humanoid robot IRON, and a flying car. Additionally, the X9 Super Range Extender has begun pre-sales, starting at 350,000 yuan [4][7] - The company forecasts significant revenue growth, with projected revenues increasing from 30.68 billion yuan in 2023 to 159.05 billion yuan by 2027, representing a compound annual growth rate (CAGR) of approximately 59.7% from 2025 to 2027 [6][10] - The company aims to leverage its AI capabilities and mass production capacity to explore new business models and expand into embodied intelligence [8] Financial Projections - Revenue projections for 2024, 2025, 2026, and 2027 are 40.87 billion yuan, 81.97 billion yuan, 130.88 billion yuan, and 159.05 billion yuan, respectively, with year-over-year growth rates of 33.2%, 100.6%, 59.7%, and 21.5% [6][10] - Net profit is expected to improve from a loss of 5.79 billion yuan in 2024 to a profit of 4.68 billion yuan by 2027, indicating a significant turnaround [6][10] - The gross margin is projected to increase from 14.3% in 2024 to 18.9% in 2027, reflecting improved operational efficiency [12] Product Development and Innovation - The second-generation VLA model enables direct output from visual signals to action commands, enhancing the AI capabilities of vehicles, humanoid robots, and flying cars [7] - The company plans to launch three Robotaxi models by 2026, utilizing a pure visual technology approach without relying on high-precision maps [7] - The humanoid robot IRON is expected to enter mass production by the end of 2026, featuring advanced AI capabilities and a humanoid design [8] Market Positioning - The company is positioned to capitalize on the growing demand for AI-driven automotive solutions and innovative transportation methods, including flying cars and humanoid robots [8] - The introduction of the X9 Super Range Extender aims to address common issues faced by traditional range extender users, enhancing the company's competitive edge in the market [8]
汽车行业周报:小鹏发布四项“物理AI”应用,IRON机器人引关注-20251109
CMS· 2025-11-09 10:00
Investment Rating - The report maintains a "Recommended" rating for the automotive industry, indicating a positive outlook for the sector's fundamentals and expectations for the industry index to outperform the benchmark index [5]. Core Insights - The automotive industry experienced an overall decline of 1.6% during the week from November 2 to November 8, 2025, with significant drops in the passenger and commercial vehicle segments, which fell by 3.4% and 3.0% respectively [2][11]. - Xpeng Motors showcased its advancements in "physical AI" at its technology day, introducing the second-generation VLA large model and the humanoid robot IRON, which is expected to be mass-produced by the end of 2026 [1][25][28]. - The report highlights the performance of individual stocks, with notable gains for Haima Automobile (+50.0%), Weichai Power (+22.1%), and ST Meichen (+17.2%), while Hengshuai Co. (-20.8%) and Biaobang Co. (-20.0%) faced significant declines [3][16]. Market Performance Overview - The automotive sector's secondary segments saw a comprehensive decline, with automotive parts and services experiencing smaller drops of -0.2% and -0.4% respectively, while tire and dealership segments showed positive growth of +1.9% and +1.8% [2][11]. - The overall market indices for the week showed mixed results, with the Shanghai A index rising by 1.1% and the Shenzhen A index by 0.4%, contrasting with the automotive sector's decline [9]. Recent Developments - Xpeng announced its entry into the Robotaxi market, planning to launch three self-developed Robotaxi models in 2026, which will utilize the second-generation VLA model and feature advanced AI capabilities [28]. - BYD plans to launch its high-end brand "Yangwang" in the Middle East in early 2026, marking its expansion into the luxury vehicle market [24]. - The report notes the successful IPOs of autonomous driving companies, including WeRide and Pony.ai, which reflect growing investor interest in the sector [31].