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盘点下国内外那些做具身感知的公司们!
具身智能之心· 2025-10-08 02:49
Core Insights - The article focuses on the emerging field of embodied intelligence, highlighting the development of general-purpose robotic brain systems and multi-modal perception decision-making systems, which are attracting significant attention from both capital and industry [2][3]. Domestic Companies - **Xinghai Map**: Founded in 2023, focuses on developing a "general embodied large model" using real-world data to create robots with fine operational capabilities. The company has completed 8 rounds of financing [6]. - **WALL-A Model**: Set to launch in October 2024, it will be the largest parameter scale embodied intelligence general operation model globally, integrating visual, language, and motion control signals [6]. - **Wall-OSS**: An open-source embodied intelligence foundational model with strong generalization and reasoning capabilities [6]. - **UBTECH**: Established in 2012, it is a leader in humanoid robot commercialization with comprehensive self-research capabilities [10]. - **Thinker Model**: A multi-modal large model with 10 billion parameters, expected to achieve top rankings in three international benchmark tests by 2025, enhancing robots' perception and task planning in complex environments [10]. - **Zhiyuan Robotics**: Founded in February 2023, it aims to create world-class general embodied intelligent robot products [12]. - **Genie Operator-1**: Set to release in March 2025, it integrates multi-modal large models and hybrid expert technology, improving task success rates by 32% compared to market models [12]. - **Galaxy General**: Founded in May 2023, it focuses on multi-modal large models driven by synthetic data [14]. - **VLA Model**: The world's first general embodied large model, utilizing a "brain + cerebellum" collaborative framework [14]. - **Qianxun Intelligent**: Established in 2024, it specializes in AI and robotics with a strong technical foundation [16]. - **Spirit V1 VLA Model**: The first AI model to tackle long-range operations of flexible objects, supporting multi-task generalization [16]. - **Star Motion Era**: A new tech company incubated by Tsinghua University, focusing on general artificial intelligence applications [18]. - **ERA-42 Model**: The first end-to-end native embodied large model in China, capable of learning over 100 dynamic tasks through video training [18]. International Companies - **Figure AI**: Focuses on developing embodied intelligence large models and related infrastructure for various industries [20]. - **Noematrix Brain**: Combines advanced algorithms and data support for comprehensive capabilities in instruction reasoning and task planning [20]. - **Physical Intelligence**: A startup established in January 2023, aims to create advanced intelligent software for robots [24]. - **π0 Model**: Released on October 31, 2024, it is a foundational model for robots, achieving fine control capabilities through pre-training and fine-tuning [24]. - **Google DeepMind**: Merged with Google Brain in 2023, focusing on general artificial intelligence research [22]. - **Gemini Robotics**: A VLA model that allows robots to perform complex tasks without specialized training, enhancing their adaptability to environmental changes [22]. - **NVIDIA**: A leading GPU design company that has expanded into AI solutions [24]. - **Eureka System**: Based on GPT-4, it can automatically train robots for complex actions and optimize reinforcement learning processes [24].
AI视频生成“暗战”起风
Hua Er Jie Jian Wen· 2025-09-29 00:01
用户付费在大语言模型中尚未跑通,但正悄然在AI视频生成赛道中生根发芽。 今年6月,AI视频生成初创公司Runway的年化营收超过9000万美元(约合人民币6.4亿元);同年第二 季度,快手(1024.HK)旗下的AI视频生成应用"可灵"创收超过2.5亿元。 国内初创公司纷纷涌上牌桌。 北京生数科技有限公司(下称"生数科技")的"Vidu"、北京爱诗科技有限公司(下称"爱诗科技") 的"拍我"用户数均已突破千万;作为"杭州AI六小龙"首个IPO,Manycore Tech Inc.(下称"群核科技") 年内亦计划发布针对C端消费者的AI视频生成产品。 市场对于AI视频的商业化前景不仅是局限于个人创作者生成一段短视频,还有影视创作、具身智能等 更多领域。 但由于空间一致性、内容拼接的崩坏等问题的存在,亦让AI视频生成模型陷入"卖家秀"和"买家秀"的争 议中。 尽管属于AI视频生成行业的DeepSeek时刻尚未到来,但在各家大厂的加码下,市场有理由相信未来的 发展路径会愈发清晰。 拼时长 2024年2月,OpenAI推出了Sora 1.0,较此前Runway只能生成3-4秒的视频来说实现了突破性的进展,成 为全球首 ...
国内外那些做具身大脑的公司们......
具身智能之心· 2025-09-13 04:03
Core Insights - The article focuses on the emerging field of embodied intelligence, highlighting the development of general-purpose robotic "brain" systems and multi-modal perception-decision systems, which are gaining significant attention from both capital and industry sectors [2][3]. Domestic Companies - **Xinghai Map**: Founded in 2023, focuses on developing a general embodied large model using real-world data to create robots with fine operational capabilities. The company has completed 8 rounds of financing in less than two years. Its representative product, WALL-A model, is set to launch in October 2024 and is claimed to be the largest parameter scale embodied intelligence model globally, integrating visual, language, and motion control signals [6]. - **UBTECH**: Established in 2012, it is a leader in humanoid robot commercialization with comprehensive self-research capabilities. The Thinker model, set to be released in 2025, has achieved top rankings in international benchmark tests, significantly enhancing robots' perception and planning capabilities in complex environments [10]. - **ZhiYuan Robotics**: Founded in February 2023, it aims to create world-class general embodied intelligent robots. Its Genie Operator-1 model, to be released in March 2025, integrates multi-modal large model and mixed expert technologies, improving task success rates by 32% compared to market models [12]. - **Galaxy General**: Established in May 2023, it focuses on multi-modal large models driven by synthetic data. Its VLA model is the first general embodied large model globally, utilizing a "brain + cerebellum" collaborative framework [14]. - **Qianxun Intelligent**: Founded in 2024, it is a leading AI + robotics company with a focus on flexible object manipulation. Its Spirit V1 VLA model is the first to tackle long-range operations of flexible objects [16]. - **Star Motion Era**: A new tech company incubated by Tsinghua University, focusing on general artificial intelligence applications. Its ERA-42 model supports over 100 dynamic tasks through video training [18]. - **Zhujidi Power**: Concentrates on embodied intelligent robots, developing core technologies for hardware design, full-body motion control, and training paradigms [20]. International Companies - **Figure AI**: Focuses on embodied intelligence operation algorithms, enhancing data training and algorithm performance through video generation technology [17]. - **Physical Intelligence**: Founded in January 2023, it aims to develop advanced intelligent software for various robots. Its π0 model, released in October 2024, is a universal robot foundation model [22]. - **Google DeepMind**: Merged with Google Brain in 2023, it focuses on general artificial intelligence research. Its Gemini Robotics model can control robots to perform complex tasks without specialized training [20]. - **Skild AI**: A leading robotics "brain" development company in the US, aiming to create a universal robot operating system that enables intelligent operations across various scenarios [26].
仿真王者,实操青铜?不存在的,逐际动力新方案为具身大脑训练“开外挂”
机器人大讲堂· 2025-09-04 11:23
Core Insights - The article discusses the advancements in embodied intelligence, particularly focusing on the new training paradigm introduced by Zhujidongli with their LimX DreamActor, which utilizes a multi-data approach for training robots [1][3][25]. Group 1: LimX DreamActor Overview - LimX DreamActor integrates video data, simulation data, and real machine data to enhance robot training efficiency and performance [3][17]. - The training process consists of four steps: data collection using consumer-grade devices, 3D reconstruction with physical parameters, extensive training in simulated environments, and fine-tuning on real machines [7][9][15]. Group 2: Data Utilization Strategy - The multi-data strategy addresses the limitations of each data type: real machine data is expensive, simulation data lacks realism, and video data is challenging to apply due to the absence of physical properties [3][17]. - The approach emphasizes data efficiency, aiming to achieve better performance at lower costs by leveraging diverse data sources [3][16]. Group 3: Technical Innovations - DreamActor employs advanced real machine reinforcement learning (RL) techniques, which significantly enhance learning efficiency and the ability to generalize from simulation to real-world applications [16][18]. - The integration of Real2Sim2Real strategies allows for a more reliable deployment of robots, reducing risks and shortening development cycles [18][20]. Group 4: Historical Context and Evolution - LimX DreamActor is an evolution of previous efforts by Zhujidongli, such as LimX VGM, which focused solely on video data for training robots without real machine samples [21][23]. - The transition from VGM to DreamActor reflects a deeper understanding of data application and the pursuit of optimal data-performance ROI [21][23]. Group 5: Industry Implications - The advancements in the multi-data approach are expected to lower the barriers for participation in embodied intelligence development, enabling more teams to engage in this field [25]. - The article suggests that achieving a balance between efficiency and stability in robot training is crucial for the large-scale application of embodied intelligence [25].
京东、美团、阿里持续加码,互联网公司卷入人形与具身智能投资乱战,打法略有不同
机器人大讲堂· 2025-07-24 09:58
Core Viewpoint - The competition among JD, Meituan, and Alibaba in the humanoid robot and embodied intelligence sectors is intensifying, with each company adopting distinct strategies to secure their positions in this emerging market [1][2]. Group 1: JD's Strategy - JD has made significant investments in humanoid robotics, with three major investments announced on July 21, including Qianxun Intelligent, Zhujidongli, and Zhongqing Robotics, with funding amounts reaching nearly 1 billion [3][4]. - JD's approach combines investment, ecosystem building, and scene application, aiming to create a comprehensive ecosystem that integrates humanoid robots and embodied intelligence [4][9]. - The company has established a dedicated department for embodied intelligence and launched the JoyInside platform to integrate its large model capabilities into various robots and smart hardware [4][8]. Group 2: Meituan's Approach - Meituan has been an early and aggressive investor in humanoid robotics, with investments exceeding 1 billion since 2021, targeting companies like Yushu Technology and Pudu Technology [10][11]. - The company operates two main investment lines: strategic investments through its investment department and financial investments through Meituan Longzhu, focusing on enhancing operational efficiency in its local service ecosystem [13][15]. - Meituan has established its own robotics research institute to deepen its understanding of the industry and improve its technological capabilities [15]. Group 3: Alibaba's Investments - Alibaba has shown strong interest in humanoid robots and embodied intelligence, participating in several funding rounds, including a 300 million RMB investment in Star Motion Epoch [16][18]. - The company has established a subsidiary, Ant Lingbo Technology, dedicated to the research and development of embodied intelligent robots, leveraging its cloud and AI infrastructure [18][19]. - Alibaba's cloud platform has significant capabilities in processing unstructured data, which is essential for training and deploying embodied intelligence models [18][20]. Group 4: Industry Landscape - The competition among major tech giants like JD, Meituan, and Alibaba reflects a broader trend in the Chinese tech industry, with companies like Tencent, Baidu, and ByteDance also investing heavily in humanoid robotics and embodied intelligence [22]. - The market for humanoid robots and embodied intelligence is expected to grow significantly as these technologies transition from experimental phases to practical applications in various sectors [22][23].
京东,一天连投3家机器人公司
21世纪经济报道· 2025-07-21 12:49
Core Viewpoint - The article highlights the recent financing activities of two Shenzhen-based robotics companies, Zhongqing Robotics and Zhujidongli, both of which have received significant investments from major players like JD.com and other notable institutions, indicating a growing interest and competition in the robotics sector in China [1][2][8]. Financing Activities - Zhongqing Robotics completed nearly 1 billion yuan in Pre-A++ and A1 rounds of financing, with key investors including XPeng Motors and JD.com [1]. - Zhujidongli secured a new round of financing led by JD.com, although the specific amount was not disclosed [1]. - JD.com also invested nearly 600 million yuan in another robotics company, Qianxun Intelligent, indicating a strategic push into the robotics field [2]. Product Development - Zhongqing Robotics has launched three humanoid robot products: SA01 for research and education, SE01 as a full-size humanoid robot, and PM01 as a lightweight humanoid robot, along with a quadruped robot showcased in May [4]. - Zhujidongli has released the TRON 1 bipedal robot and plans to launch a full-size humanoid robot in the second half of the year [4]. Application Scenarios - Zhongqing Robotics plans to host a robot combat competition, akin to "WWE," starting in December, and has established partnerships with major companies like NVIDIA and Amazon for diverse applications [4][5]. - Zhujidongli is exploring large-scale applications of its TRON 1 robot in inspection, security, and delivery scenarios [5]. Technological Innovations - Zhongqing Robotics has overcome the Sim2Real technology challenge, creating a unique technical barrier that enhances robot performance in dynamic environments [5]. - Zhujidongli introduced the LimX VGM technology, which utilizes human operation video data for robot operation, emphasizing a multi-source data approach for innovation [5]. Strategic Directions - Zhongqing Robotics aims to accelerate its development pace, increasing production capacity by five times and enhancing R&D investment in embodied intelligence technology [6]. - Zhujidongli focuses on supporting innovation through its general-purpose platform, promoting technological advancements across various sectors [6]. Competitive Landscape - JD.com and Meituan are actively competing in the robotics investment space, with Meituan having invested in 30 robotics-related companies over the past three years [2][9]. - JD.com has established an internal team for embodied intelligence and launched the "JoyInside platform" to attract robotics manufacturers, integrating its AI capabilities into various robotic applications [10].
京东美团“暗战”具身智能,战火延至外卖之外
Sou Hu Cai Jing· 2025-07-21 12:08
Group 1: Investment Trends in Embodied Intelligence - Major players in the tech industry, including JD.com and Meituan, are intensifying their focus on embodied intelligence, with JD.com leading investments in three companies in July 2025 [1][3] - JD.com led a nearly 600 million yuan Pre-A+ round investment in Qianxun Intelligent, which specializes in daily task automation through its humanoid robot Moz1, featuring advanced hardware capabilities [1][2] - Another company, Zhongqing Robotics, secured nearly 1 billion yuan in funding, with plans to scale production and enhance R&D in embodied intelligence technology [2][3] Group 2: Strategic Focus of Investments - JD.com's investment strategy emphasizes a combination of hardware and intelligent models, aiming for high compatibility and mass production capabilities to optimize performance and cost [3] - Meituan's investments in Itashi Intelligent and Xinghaitu focus on enhancing service scenarios through low-cost intelligent solutions, aligning with its core business in local life services [5][7] - Itashi Intelligent's technology integrates multi-modal environmental perception, enhancing operational efficiency in complex indoor environments, while Xinghaitu develops lightweight intelligent modules for existing service devices [5][7] Group 3: Market Implications - The investments by JD.com and Meituan indicate a shift towards practical commercialization of embodied intelligence, with both companies aiming to reshape the service industry's intelligent transformation [5][7] - The competition between these tech giants in the realm of intelligent services is expected to drive innovation and efficiency in local service operations, potentially transforming the entire service sector [5][7]
不止于外卖大战,京东美团连投机器人公司
Group 1: Financing and Investment - Two Shenzhen-based robotics companies, Zhongqing Robotics and Zhujidongli, announced recent financing rounds, with Zhongqing raising nearly 1 billion yuan in Pre-A++ and A1 rounds, led by XPeng Motors and JD.com respectively [2][3] - Zhujidongli's latest financing round was strategically led by JD.com, although the specific amount was not disclosed [2][3] - JD.com has also invested in another robotics company, Qianxun Intelligent, which completed a nearly 600 million yuan Pre-A+ round [3] Group 2: Product Development and Offerings - Zhongqing Robotics has launched three humanoid robot products aimed at research and education, including the SA01, SE01, and PM01, and showcased its first quadruped robot, Leopard [2][3] - Zhujidongli has released the TRON 1 bipedal robot and plans to publicly sell a full-sized humanoid robot in the second half of the year [2][3] Group 3: Application and Technology - Zhongqing Robotics plans to host a robot combat competition, akin to "WWE," starting in December, and has formed partnerships with major industry players like NVIDIA and Amazon for diverse applications [4] - Zhujidongli is exploring large-scale applications of its TRON 1 robot in inspection, security, and delivery scenarios [4] - Zhongqing has achieved a technological breakthrough in Sim2Real, enhancing performance in dynamic actions [4][5] Group 4: Strategic Focus and Future Plans - Zhongqing aims to accelerate its development pace, increasing production capacity by five times and investing more in embodied intelligence technology [5][6] - Zhujidongli focuses on supporting innovation in various fields through its general-purpose robotics platform and plans to launch its full-sized humanoid robot soon [6] Group 5: Competitive Landscape - The competition between JD.com and Meituan has expanded into the robotics sector, with Meituan having invested in 30 robotics-related companies over the past three years [7][8] - JD.com is strategically building its capabilities in embodied intelligence, having established a dedicated team and launched the JoyInside platform to attract robotics manufacturers [8]
逐际动力获京东战略领投新一轮融资,全尺寸人形机器人即将公开销售
IPO早知道· 2025-07-21 03:17
Core Viewpoint - The article discusses the recent strategic investment by JD.com in LimX Dynamics, aimed at enhancing collaboration in retail, logistics, and services, while promoting the commercialization of embodied intelligence technology [2]. Group 1: Company Overview - LimX Dynamics focuses on supporting and accelerating research, development, and application of a general platform for embodied intelligence robots [2]. - The company employs an "IDS Collaborative Innovation Strategy," targeting innovators, developers, and system integrators as core customers and partners [2]. - LimX Dynamics aims to provide a robust technological foundation for its partners, facilitating the efficient transformation of advanced technologies into practical applications [2][5]. Group 2: Product Development - LimX Dynamics has completed preparations for mass production of its full-size humanoid robot, which will be publicly available for sale in the second half of this year [2]. - The TRON 1 bipedal robot, launched in October 2024, has attracted clients from renowned universities and tech companies, showcasing its capabilities in inspection, security, and delivery applications [4]. - The company has introduced mobile operation, perception expansion, and voice interaction kits for developers, enhancing the TRON 1's industry application potential [4]. Group 3: Technological Innovations - LimX Dynamics released LimX VGM, a technology that utilizes human operation video data for robotic operation innovation, supporting multi-platform generalization without relying on single data sources [4]. - The company emphasizes a product-oriented approach, focusing on efficient model development and addressing actual user needs [5]. - Significant advancements in the Vision-Language-Action (VLA) domain are expected in the second half of the year, enhancing robots' autonomous decision-making and interaction capabilities in complex environments [4].