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NeurIPS 2025 | CMU、清华、UTAustin开源ReinFlow,用在线RL微调机器人流匹配策略
机器之心· 2025-10-20 09:15
作者简介:本文第一作者为卡耐基梅隆大学机器人所研究生 Tonghe Zhang,主要研究方向为机器人操作大模型和全身控制算法。合作者为德克萨斯大学奥斯汀分 校博士生 Sichang Su, 研究方向为强化学习和通用机器人策略。指导教师是清华大学和北京中关村学院的 Chao Yu 教授以及清华大学 Yu Wang 教授。 今年,流匹配无疑是机器人学习领域的大热门:作为扩散模型的一种优雅的变体,流匹配凭借简单、好用的特点,成为了机器人底层操作策略的主流手段,并被 广泛应用于先进的 VLA 模型之中 —— 无论是 Physical Intelligence 的 ,LeRobot 的 SmolVLA, 英伟达的 GR00T 和近期清华大学发布的 RDT2。 想要进一步增强开源 VLA 模型的能力,除了增加数据多样性,强化学习也是一种高度有效的方法。来自卡内基梅隆大学、清华大学和德克萨斯大学奥斯汀分校的 研究团队提出了一个用于 微调流匹配策略的在线强化学习框架 ReinFlow, 该工作已被 NeurIPS 2025 接收,并开源了详细的复现教程,包括代码、训练权重、和 训练结果。 | WEBSITE VISIT DO ...
汽车与工业科技- 人形机器人及其对汽车与工业科技的利润影响-Autos & Industrial Tech_ Platforms & Power - Part II_ Humanoids and profit implications for autos & industrial tech
2025-10-15 03:14
Summary of Key Points from the Conference Call Industry Overview - The humanoid robot market is projected to grow from approximately 20,000 units in 2025 to around 1.4 million units by 2035, generating about $38 billion in revenue [3][35] - Humanoids are expected to play a significant role in various sectors, including manufacturing, elderly care, and home chores, with a potential market size of $205 billion in optimistic scenarios [8][39] Core Companies Discussed Tesla - Tesla is developing the Optimus robot for internal use and external sales, with the CEO suggesting that humanoids could account for 80% of the company's future value [1][58] - The company aims to produce 1 million humanoid robots annually by 2030, with potential EPS contributions ranging from $0.10 to $3.00 by 2030, and $0.20 to $13.00 by 2035, depending on shipment volumes and margins [10][66] Jabil - Jabil is positioned to benefit from manufacturing humanoids and providing necessary data for AI training, with potential EPS impacts of up to $1 by 2030 and $4 by 2035 [11][73] - The company has partnerships with Apptronik and has experience in manufacturing and automation, which could facilitate its entry into the humanoid market [11][72] Flex - Flex is expected to generate similar EPS impacts as Jabil, with estimates of up to $0.25 by 2030 and $1 by 2035, depending on humanoid shipments and labor savings [14][74] - The company is focusing on automation and efficiency, with a significant portion of its revenue coming from datacenters and automotive sectors [14][74] Other Notable Companies - Companies like Boston Dynamics, Agility Robotics, Apptronik, and Figure AI are also highlighted for their contributions to humanoid technology and partnerships with larger firms [2][11][23] Technological Challenges and Developments - Current challenges in humanoid robotics include hardware limitations (e.g., precision, battery life) and software development for varied tasks [2][20] - Companies are focusing on gathering data for AI training, with tools like Nvidia's GR00T model being utilized to enhance humanoid capabilities [2][23] - The industry anticipates that it may take several years before humanoids can be deployed at scale in controlled environments like factories [57] Market Dynamics - The global market for industrial robots is approximately 550,000 units per year, suggesting that the humanoid market could grow significantly as adoption increases in both industrial and consumer settings [42][56] - The labor shortage in manufacturing and other sectors in the U.S. presents a strong case for the adoption of humanoid robots to fill gaps [39] Financial Projections - The financial outlook for humanoid robots includes various scenarios (base, bear, bull, blue-sky) with significant revenue potential, particularly in optimistic cases where humanoids become widely adopted [38][39] - The EPS contributions from humanoid robots for companies like Tesla, Jabil, and Flex are contingent on successful scaling and market adoption [10][66][73][74] Conclusion - The humanoid robot market presents substantial growth opportunities for companies involved in manufacturing, AI, and robotics, with Tesla, Jabil, and Flex positioned to capitalize on this emerging sector. However, technological challenges and market dynamics will play a crucial role in determining the pace of adoption and financial success.
人形机器人热度再升温! OpenAI继续招兵买马 从ChatGPT迈向“会干活的AI”
Zhi Tong Cai Jing· 2025-09-16 01:32
Group 1: OpenAI's Developments - OpenAI is actively recruiting top AI application researchers to advance humanoid robotics and aims to become a leader in embodied AI [1][2] - The company is focusing on developing AI models that can handle complex physical tasks for humanoid robots [1][2] - OpenAI has recently posted job openings for senior engineers specializing in robotics, indicating a strategic push into this field [2][3] Group 2: Industry Trends and Predictions - The concept of "embodied AI" is gaining traction, with significant interest from industry leaders like NVIDIA and Tesla [2][3] - Tesla's Optimus humanoid robot is projected to contribute approximately 80% of the company's long-term value, highlighting the strategic importance of robotics for Tesla [3][4] - Morgan Stanley suggests that the humanoid robot market could surpass the total addressable market of the global automotive industry [4] Group 3: Market Growth Projections - The humanoid robot market is expected to grow from approximately $2 billion in 2024 to $15.26 billion by 2029, with a compound annual growth rate (CAGR) exceeding 39% [7] - Deutsche Bank forecasts that the humanoid robot market could reach $75 billion by 2035 and potentially $1 trillion by 2050, with global sales exceeding 70 million units [8] - The next few years are critical for the acceleration of humanoid robot production, with companies like Tesla and Figure AI setting ambitious mass production plans [8]
英伟达的首批机器人“新大脑”到货了 中国开发者怎么评价它?
Di Yi Cai Jing· 2025-08-26 11:54
Group 1 - Nvidia has launched the Jetson Thor robot computing platform, which is now available for developers at a price of $3,499 [2] - The Thor chip, based on the Blackwell architecture, offers a peak computing power of 2070 TFLOPS at FP4 precision, representing a 7.5 times improvement over the previous Orin chip and a 3.5 times increase in energy efficiency [2] - The current deployment model for robots typically combines cloud and edge computing, with a need for significant computational power for more generalized robot models [2][3] Group 2 - The Thor chip enhances data processing capabilities and interface bandwidth, allowing robots to handle high-resolution, high-frequency sensor inputs locally, which could reduce reliance on cloud processing [3] - Nvidia aims to establish foundational infrastructure in the robotics sector, similar to its strategy before the AIGC boom, to influence industry standards ahead of a potential market explosion [3] - Domestic companies in China are also developing their own solutions, such as the RDK S100 development kit and various chips for different robotic functions, highlighting the competitive landscape [4] Group 3 - The advantages of domestic chips include higher cost-effectiveness and tailored services, which may provide differentiation in market optimization [4] - Despite Nvidia's advancements, the fragmented nature of robot applications presents opportunities for competitors to carve out niches in low-power chips and specialized scenarios [4]
AI巨头重兵布局,深度解析AI智能体:为什么说它才是AI的终极形态?
3 6 Ke· 2025-08-21 23:24
Core Insights - The article discusses the rising significance of Agentic AI, which is seen as a transformative force in enhancing productivity and business operations, potentially surpassing Generative AI [1][3] - A report from Huatai Securities indicates that Generative AI is entering a new development phase dominated by AI agents [1] Group 1: Understanding Agentic AI - Agentic AI is described as an evolution from Generative AI, where the former acts as an "actor" rather than just a "respondent," enabling autonomous task execution [4][6] - The evolution of AI is moving from single model enhancements to creating a collaborative "intelligent ecosystem" [5] Group 2: Major Players in the Agentic AI Space - Microsoft aims to integrate its Copilot across various platforms, transforming it into a comprehensive assistant capable of complex tasks [8][9] - Google focuses on multi-modal and general AI with its Project Astra, which showcases capabilities in understanding and interacting with the environment [10] - OpenAI views Agentic AI as a pathway to achieving Artificial General Intelligence (AGI), with ongoing developments to create autonomous agents capable of complex tasks [11] - NVIDIA plays a crucial role by providing powerful GPU resources and developing platforms for Agentic AI, including tools for easy model deployment [12] Group 3: Impact on Industries - Agentic AI is expected to revolutionize various sectors by introducing "digital employees" that can perform tasks autonomously, enhancing efficiency and productivity [13] - The potential for intelligent agents to handle customer service and internal operations is highlighted, indicating a shift from traditional automation to more sophisticated AI interactions [13] Group 4: Challenges and Future Outlook - The current lack of standardization among different AI agents poses a challenge for seamless collaboration across platforms [15] - Experts suggest that organizations should start exploring the capabilities of Agentic AI through pilot projects to understand its potential benefits [16][17]
协创数据:公司具身智能服务平台为NVIDIA在机器人应用场景重要合作伙伴
Xin Lang Cai Jing· 2025-08-08 00:53
Core Insights - The company, Qichuang Data (300857), has integrated its Omnibot platform with NVIDIA's technology stack, including IsaacSim, IsaacLab, Omniverse, GR00T, and Cosmos, positioning itself as an important partner for NVIDIA in robotic application scenarios [1] Group 1 - The Fcloud platform is designed for developers of embodied robots, providing an end-to-end development environment that includes simulation services, data services, training services, model services, and cloud storage services [1]
民生证券:NVIDIA提出三大计算平台协同解决方案 具身智能浪潮已至
智通财经网· 2025-05-31 08:46
Core Viewpoint - NVIDIA is developing a comprehensive ecosystem for robotics through collaboration with various solution providers, aiming to accelerate the evolution of the entire industry [1] Group 1: NVIDIA's Focus and Strategy - NVIDIA has been focusing on the intelligent robotics sector since 2014, emphasizing general computing power, development platforms, and large models to create a foundational development ecosystem for robotics [2] - The company aims to provide core components such as the Jetson Thor main control chip, the Isaac Lab simulation training platform, and tools like the GR00T model to assist developers in building and managing robots [2] Group 2: Three-Computer Solution Framework - NVIDIA's CEO Jensen Huang stated that every robotics company must establish a three-computer collaborative solution, which includes DGX (integrating NVIDIA's software and hardware expertise), AGX (for robotics and embedded edge AI applications), and Omniverse with Cosmos (an AI-driven system) [3] - This framework is designed to create a complete system from training to optimization and execution, enabling humanoid robots to interact with the real world using natural language commands [3] Group 3: Isaac Lab Platform - The Isaac Lab platform consists of NVIDIA's CUDA acceleration library (Isaac ROS), application framework (Isaac Lab 2.0), and AI models (Isaac Manipulator and Isaac Perceptor), leveraging AI and synthetic data technology to enhance robotic capabilities [4] - It provides four key technological supports: foundational robot models, data pipelines, simulation frameworks, and the Thor robot computing platform, applicable in various fields such as industrial robotic arms and autonomous mobile robots [4] Group 4: GR00T Model - The GR00T model, introduced at the March 2025 GTC conference, is an open-source humanoid robot foundational model featuring a dual-system architecture for rapid and slow thinking [5] - It integrates AI, simulation, and hardware innovations, serving as a generative AI platform specifically designed for humanoid robot developers, capable of understanding language, vision, and motion control for end-to-end task execution [5] Group 5: Ecosystem Development - At the 2025 CES, 14 robots featuring the GR00T model were showcased, with participation from companies across China, the US, and other countries [6] - NVIDIA is actively engaging with humanoid robot manufacturers and core component suppliers to build a robust supply chain ecosystem based on its solutions, development platforms, and the Jetson Thor chip [6] - The automotive parts sector is highlighted as having strong customer positioning and production capabilities, with significant overlap between automotive and robotics supply chains, suggesting potential investment opportunities in companies like Top Group and Bertly [6]
英伟达_GTC 大会第三天亮点 - 首席执行官和首席财务官问答环节及人工智能工厂
2025-03-23 15:39
Summary of NVIDIA Corp Conference Call Company Overview - **Company**: NVIDIA Corp - **Date**: March 20, 2025 Key Industry Insights - **Data Center Revenue Growth**: NVIDIA anticipates its data center revenue could grow more than 2x from approximately $215 billion in 2025 to around $430 billion by 2028, suggesting an EPS of about $12/share during this period [2][2][2] - **Compute Intensity**: The company argues that advancements in reasoning models are increasing compute intensity, as machines need to "think for themselves" to resolve issues, necessitating faster inference [2][2][2] - **Infrastructure Focus**: NVIDIA emphasizes its role in the infrastructure sector, asserting that it is the only reliable option for customers planning large-scale deployments [2][2][2] Financial Highlights - **Revenue Projections**: - 2025: $130.5 billion - 2026E: $232.1 billion - 2027E: $263.7 billion - 2028E: $264.6 billion - 2029E: $299.2 billion - 2030E: $273.9 billion [4][4][4] - **EPS Growth**: - 2025: $3.00 - 2026E: $5.27 - 2027E: $6.22 - 2028E: $6.35 - 2029E: $7.21 - 2030E: $6.50 [4][4][4] - **Market Capitalization**: Approximately $2,880 billion as of March 19, 2025 [5][5][5] Technological Developments - **AI Memory Market**: Samsung projects AI memory revenues to exceed $826 billion by 2030, focusing on memory solutions for AI applications [10][10][10] - **Liquid Cooling Solutions**: Supermicro highlighted the advantages of liquid cooling over air cooling, including up to 89% reduction in electricity costs for cooling infrastructure and up to 80% space savings in data centers [16][16][16] Robotics and AI Innovations - **GR00T Model**: NVIDIA's new model for humanoid robotics, designed to run on accessible hardware, is trained on diverse datasets, including human videos and synthetic data [12][12][12] - **Closing the Sim-to-Real Gap**: Advances in accelerated computing are improving the ability to replicate real-world simulations, allowing robots to learn from experience rather than just programming [12][12][12] AI Agents in Enterprise - **Workflow Transformation**: AI agents enable dynamic software workflows, enhancing efficiency and automation in enterprise settings, with potential automation levels increasing from ~20% to ~70% [14][14][14] - **Challenges**: Adoption hurdles include the need for education on AI concepts, reimagining workflows, and ensuring safety and transparency [14][14][14] Inventory and Production Insights - **Inventory Build**: NVIDIA's inventory increased by 15-20% due to AI server components, with a focus on building full racks rather than holding GPUs in inventory [17][17][17] - **Production Capacity**: Hon Hai confirmed its ability to scale production in the US, with expectations to ship 30-50k racks over the next 12 months [17][17][17] Conclusion NVIDIA Corp is positioned for significant growth in the data center and AI sectors, with robust revenue projections and advancements in technology that support its infrastructure and robotics initiatives. The company is also addressing challenges in the enterprise sector through the adoption of AI agents, while maintaining a focus on efficient production and inventory management.
周观点 | 乘用车基本面向上 推荐汽配机器人【民生汽车 崔琰团队】
汽车琰究· 2025-03-16 15:42
摘要 ► 本 周数据: 2025 年 3 月第 1 周( 3.3-3.9 )乘用车销量 35.8 万辆,同比 +16.2% ,环比 -12.1% ;新能源乘用车销量 20.2 万辆,同比 +36.2% ,环比 -7.5% ;新能源渗透率 56.5% ,环比 +2.8pct 。 ► 本周行情 : 汽车板块本周表现强于市场 本周(3月10-14日)A股汽车板块上涨1.38%,在申万子行业中排名第19位,表现强于沪深300(+1.33%)。细分板块中,摩托车及其他、汽车服务、商用 载客车、汽车零部件、乘用车分别上涨3.75%、2.03%、1.91%、1.61%、0.90%,商用载货车下跌0.79%。 ► 本周观点: 本月建议关注核心组合【比亚迪、吉利汽车、小鹏汽车、小米集团、伯特利、拓普集团、新泉股份、沪光股份、春风动力】。 ► 乘用车基本面向上 智驾平权提振估值。 根据乘用车上险数据,2月第3/4/5周乘用车销量分别33.9/37.0/40.7万辆,新能源渗透率分别50.6%/54.8%/53.8%;3月第1周乘用车销量35.8万辆,新能 源渗透率56.5%,受益补贴政策,年后车市需求及新能源渗透率均快速恢复。分 ...
获3.5亿美元投资,谷歌押注的人形机器人进厂造奔驰
创业邦· 2025-03-01 03:03
Core Viewpoint - The article discusses the evolution and commercialization of humanoid robots, particularly focusing on Apptronik and its Apollo robot, highlighting the challenges and opportunities in the humanoid robotics industry [1][4][26]. Group 1: Development of Valkyrie - Valkyrie, developed by NASA for the DARPA Robotics Challenge, aimed to address disaster response but faced significant operational issues during the competition [2][4]. - Despite its initial failures, Valkyrie influenced the humanoid robotics field, leading to the establishment of startups by team members involved in its development [4] Group 2: Apptronik's Formation and Growth - Apptronik was founded by a team from the University of Texas at Austin, including Luis Sentis, Nick Paine, and Jeff Cardenas, who aimed to create humanoid robots capable of performing various tasks [8][9]. - Initially, Apptronik focused on government contracts, particularly with NASA, to fund its development before seeking external financing in 2022 [10][11]. Group 3: Apollo Robot Launch - In August 2023, Apptronik launched the Apollo humanoid robot, designed for industrial applications to address labor shortages and improve efficiency [14][15]. - Apollo features advanced hardware capabilities, including 32 actuators and modular design, allowing it to perform various tasks safely alongside humans [14][15]. Group 4: Commercialization and Partnerships - Apptronik aims to commercialize Apollo by 2025, with a target price below $50,000, and has begun partnerships with major industrial players like Mercedes-Benz [15][26]. - The company has accelerated its commercialization efforts, seeking to deploy Apollo in various factories to demonstrate its practical applications [24][25]. Group 5: Industry Trends and Future Directions - The humanoid robotics industry is evolving, with companies exploring collaborations with AI firms to enhance robot capabilities [20][21]. - Apptronik is pursuing partnerships with NVIDIA and Google to integrate advanced AI models into its robots, while other firms are considering in-house AI development [20][22]. - The industry faces challenges in generating training data for robots, with industrial environments being a primary focus for data collection [24].