华为云CloudRobo平台

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华为云CloudRobo平台云上赋智,定义“轻本体,强智能”机器人新时代
Sou Hu Cai Jing· 2025-09-19 10:36
具身智能会迎来它的"ChatGPT时刻"吗?整个行业都在等待这个问题的答案。 数据平台能力行业领跑,加速具身智能迭代 HC2025具身智能创新论坛上,华为云物理智能创新实验室负责人周顺波指出,Physical AI已成必然趋势,AI技术从学术研究走向规模应用,AI应用也正从 判别式、生成式发展到物理智能,如控制汽车、机器人等实体设备在现实世界中行动,而作为先导应用场景,自动驾驶的普及也预示着具身智能产业正处在 爆发前夜。 华为云物理智能创新实验室负责人 周顺波 然而,当前具身智能产业仍受产业链条冗长、需求场景碎片化、训练数据匮乏等现实难题掣肘。具身智能云平台的出现,有望成为产业突破瓶颈、加速发展 的关键。 周顺波强调,机器人产业长期依靠"手拉肩扛"进行定制化的研发与交付,导致了行业效率低、门槛高、泛化难的现状和困境。而通过CloudRobo平台,可以 端云协同驱动具身Agent自主学习,通过真实数据示教和重建,仿真合成场景任务,实现开发运行数据的闭环。这一平台具有低人工、低门槛的显著优势, 为具身智能行业的突破性变革提供了一条可行路径。 为加速具身智能创新,华为云CloudRobo平台整合了数据生产管理、机器 ...
华为云CloudRobo打破本体限制,驱动机器人在“云端无限进化”
Huan Qiu Wang· 2025-09-19 08:05
【环球网科技综合报道】具身智能会迎来它的"ChatGPT时刻"吗?整个行业都在等待这个问题的答案。 9月19日,在华为全联接大会2025上,华为常务董事、华为云计算CEO张平安展示了最新的CloudRobo具身智能平台。 "智能化程度越高,具身智能的本体将会变得越复杂,华为云CloudRobo平台,通过云上赋智,打破体积、功耗和成本等本体约束,将让本体更轻量、执行 更智能、场景更泛化,让更多机器人在云端无限进化。"张平安说。 数据平台能力行业领跑,加速具身智能迭代 HC2025具身智能创新论坛上,华为云物理智能创新实验室负责人周顺波指出,Physical AI已成必然趋势,AI技术从学术研究走向规模应用,AI应用也正从 判别式、生成式发展到物理智能,如控制汽车、机器人等实体设备在现实世界中行动,而作为先导应用场景,自动驾驶的普及也预示着具身智能产业正处在 爆发前夜。 然而,当前具身智能产业仍受产业链条冗长、需求场景碎片化、训练数据匮乏等现实难题掣肘。具身智能云平台的出现,有望成为产业突破瓶颈、加速发展 的关键。 周顺波强调,机器人产业长期依靠"手拉肩扛"进行定制化的研发与交付,导致了行业效率低、门槛高、泛化难 ...
2025华为全联接大会之具身智能前瞻
NORTHEAST SECURITIES· 2025-09-15 01:42
Investment Rating - The report rates the industry as "Outperforming the Market" [3] Core Insights - The 2025 Huawei Connect Conference will focus on the theme of "Leaping Industry Intelligence" and will showcase Huawei's latest initiatives in comprehensive intelligence strategy, including new digital infrastructure products and industry-specific solutions [1] - The conference's Embodied Intelligence Innovation Forum aims to discuss advancements in Huawei Cloud's CloudRobo platform, emphasizing data collection, reasoning training, and open collaboration to promote the evolution of embodied intelligence towards autonomy and generalization [2] - The report anticipates that the conference will generate significant market attention, potentially leading to a "September Market Surge" for Huawei-related investments, as embodied intelligence is on the verge of a breakthrough characterized by cost reduction and expanded application scenarios [3] Summary by Sections Strategic Overview - The report highlights the importance of building a global open collaboration ecosystem to enhance the capabilities of embodied intelligence, with a focus on standardization, data, and industry positioning [2] Technological Development - Huawei Cloud's CloudRobo platform is designed to empower embodied intelligence, addressing the challenges of data, training, and operation within the industry chain, providing a comprehensive technical support base for enterprises [2] Ecosystem Collaboration - The forum will feature discussions with Huawei Cloud customers and partners, sharing practical experiences in implementing embodied intelligence, thereby fostering innovation and collaboration across the industry chain [2] Market Performance - The report notes a strong historical performance with absolute returns of 21% over 1 month, 43% over 3 months, and 104% over 12 months, indicating robust market interest in the sector [5] - The total market capitalization of the industry is reported at 123.369 billion, with a total revenue of 346.28 billion and a net profit of 13.44 billion [5]
华为研究之机器人:华为云赋能泛具身智能,成就机器人商业落地最佳闭环
NORTHEAST SECURITIES· 2025-08-21 01:47
Investment Rating - The report rates the industry as "Outperforming the Market" [4] Core Insights - The commercialization of humanoid robots is best initiated in the B2B sector, driven by technological breakthroughs in supply-side capabilities, similar to the rapid development of AI large models [1][12] - Humanoid robots are expected to significantly reduce labor costs in manufacturing, with a projected market demand of 27.96 million units and a market size of 3.9141 trillion yuan by 2028 [2][70] - Huawei Cloud is positioned as a key enabler for the commercialization of embodied intelligence in the robotics sector, leveraging its strengths in computing power and algorithms [3][4] Summary by Sections Section 1: Best Starting Point for Humanoid Robot Commercialization - The humanoid robot industry is experiencing explosive growth, driven by technological advancements in AI large models, which began accelerating in 2022 [12][16] - The current cost of humanoid robots presents a barrier to consumer adoption, with prices generally exceeding 200,000 yuan, making them unaffordable for average households [25][28] - The industrial sector shows a willingness to pay for efficiency improvements, making it a more suitable environment for the deployment of humanoid robots [1][42] Section 2: Empowering China's Manufacturing Upgrade - China's manufacturing sector faces multiple challenges, including rising labor costs and competition from Southeast Asia, leading to a strong demand for cost reduction [43][46] - Humanoid robots can seamlessly adapt to production environments, with a potential return on investment within three years if costs decrease to 30,000 USD per unit by 2028 [51][66] - The humanoid robot market in manufacturing is projected to reach a demand of 27.96 million units, translating to a market size of 3.9141 trillion yuan [70] Section 3: Demand Estimation for Humanoid Robots in Manufacturing - The report estimates that the demand for humanoid robots in the manufacturing sector could reach 27.96 million units, with a market size of 3.9141 trillion yuan [70] - Humanoid robots are expected to complement existing automation technologies, particularly in flexible manufacturing scenarios where traditional robots may fall short [71][74] - The deployment of humanoid robots in the automotive manufacturing sector is already underway, with companies like Tesla and BYD leading the way [77] Section 4: Huawei Cloud as a Key Enabler - Huawei Cloud is positioned to play a crucial role in the commercialization of humanoid robots by providing necessary training and data services [3][4] - The report highlights the importance of collaboration between Huawei and key players in the robotics industry to drive innovation and market adoption [3][4]