编辑丨 新智元 点击下方 卡片 ，关注" 具身智能之心 "公众号 >> 点击进入→ 具身 智能之心 技术交流群 更多干货，欢迎加入国内首个具身智能全栈学习社区： 具身智能之心知识星球（戳我） ，这里包含所有你想要的! 【导读】 周末的一场顶级赛事，彻底撕碎了实验室的「滤镜」！全球13支精英战队的机器人上演连环翻车：过吊桥卡腿、爬阶梯摔跤，堪称一场机 器人的「荒野求生」。 周末两天，香港中文大学岭南体育场内，尖叫声和倒吸冷气声此起彼伏！ 然而，现场不见人类运动员的身影， 只有一群机器人 ，在 真实世界 里「极限求生」—— 这里，没有平整的室内地面，没有恒定的光线，而且鲜有隐身幕后的遥操员。 镜头猛然拉近，率先登场的， 是来自香港中文大学的LRL挑战赛队，作为表演嘉宾以全自主的形式来尝试答题。 挑战，从第一个塑料瓶开始，就写满了真实的「残酷」。 只见，它走向场中桌子上的塑料瓶，伸手、探爪——「哐当」！瓶子没抓起来，直接被推倒了。 在被LRL团队成员「拎走」调试后，它倔强地开始了第二次尝试。 令全场唏嘘的是，它又一次失败了！ 而且，好不容易抓到的香蕉皮，机器人又用一个潇洒的抛物线，完美地扔到了桶外...... 唯一 ...

【导读】周末的一场顶级赛事，彻底撕碎了实验室的「滤镜」！全球13支精英战队的机器人上演连环翻车：过吊桥卡腿、爬阶梯摔跤，堪称一场机器人的 「荒野求生」。 周末两天，香港中文大学岭南体育场内，尖叫声和倒吸冷气声此起彼伏！ 然而，现场不见人类运动员的身影，只有一群机器人，在真实世界里「极限求生」—— 这里，没有平整的室内地面，没有恒定的光线，而且鲜有隐身幕后的遥操员。 镜头猛然拉近，率先登场的，是来自香港中文大学的LRL挑战赛队，作为表演嘉宾以全自主的形式来尝试答题。 挑战，从第一个塑料瓶开始，就写满了真实的「残酷」。 只见，它走向场中桌子上的塑料瓶，伸手、探爪——「哐当」！瓶子没抓起来，直接被推倒了。 在被LRL团队成员「拎走」调试后，它倔强地开始了第二次尝试。 令全场唏嘘的是，它又一次失败了！ 而且，好不容易抓到的香蕉皮，机器人又用一个潇洒的抛物线，完美地扔到了桶外...... 唯一争气抓起的纸盒，却在投递的终极一刻，啪嗒一声又掉在了垃圾桶旁，仿佛完成了最后一记的「喜剧暴击」。 镜头切到隔壁赛区，CUMAE战队的双足机器人，正手持水壶，对着一排白色花朵「精准输出」。 六朵花，全中靶心！ 操作看似轻巧，背后全是 ...

责任编辑：何俊熹 智元机器人联合创始人兼首席技术官彭志辉表示，"第5000台机器人下线是一个里程碑，但它更是我们 新征程的一个起点，智元机器人未来将继续坚持以创新为本，以客户为中心，让智能机器人能够真正的 走进千行百业，走进我们的日常生活。"（文猛） 智元机器人联合创始人兼首席技术官彭志辉表示，"第5000台机器人下线是一个里程碑，但它更是我们 新征程的一个起点，智元机器人未来将继续坚持以创新为本，以客户为中心，让智能机器人能够真正的 走进千行百业，走进我们的日常生活。"（文猛） 责任编辑：何俊熹 新浪科技讯 12月8日下午消息，智元机器人今日宣布第5000台通用具身智能机器人量产下线，该款机器 人为智元灵犀X2。现场，知名演员黄晓明亲自来到现场，成为智元第5000台人形机器人产品主人，"现 场提货"领走了灵犀X2。 新浪科技讯 12月8日下午消息，智元机器人今日宣布第5000台通用具身智能机器人量产下线，该款机器 人为智元灵犀X2。现场，知名演员黄晓明亲自来到现场，成为智元第5000台人形机器人产品主人，"现 场提货"领走了灵犀X2。 ...

Core Viewpoint - Yushu Technology's IPO process is accelerating, with the company having completed its IPO counseling and moving towards submitting its prospectus by the end of 2023 [1][2][6]. Group 1: IPO Progress - Yushu Technology has entered the "counseling acceptance" stage as of November 15, indicating readiness to submit its IPO application [1]. - The company completed its IPO counseling in just 132 days, significantly faster than the average duration of 6 to 12 months for similar processes in the A-share market [7]. - The rapid progress is attributed to a strong team from CITIC Securities, which deployed 24 personnel to assist Yushu Technology [6]. Group 2: Market Position and Expectations - Yushu Technology has gained significant attention in the market, with its original shares being highly sought after, reflecting strong investor interest [2]. - The company is expected to meet the basic requirements for A-share listing, having reported annual revenue exceeding 1 billion yuan (approximately 10 billion) [8]. - The company is positioned to potentially set a record for the fastest IPO process for a technology stock in A-share history [7]. Group 3: Challenges Post-IPO - Post-IPO, Yushu Technology and similar humanoid robot companies face the dilemma of balancing profitability with the need for continued capital investment in technology [10]. - The industry is grappling with challenges such as market saturation in certain segments and the need for ongoing investment in high-performance computing resources [10][11]. - The market's perception of humanoid robot companies will depend on their ability to deliver on production and delivery expectations, as well as their strategic focus on either AI capital expenditure or traditional consumer robotics [12].

Core Viewpoint - Yushu Technology's IPO process is accelerating, with the company having completed its preparatory work for the IPO application, indicating a smooth progression towards its goal of submitting the IPO prospectus between October and December [1][7]. Group 1: IPO Progress - Yushu Technology has entered the "acceptance" stage of its IPO guidance, having completed the necessary preparations for its IPO application [1]. - The company has achieved a record speed in its IPO guidance process, completing it in just 132 days, significantly faster than the average duration of 6 to 12 months for similar companies [6][7]. - The company’s founder revealed that Yushu Technology's annual revenue has exceeded 1 billion yuan, meeting the basic requirements for A-share listing [7]. Group 2: Market Position and Competitors - Yushu Technology is considered a leading player in the capital market, with other humanoid robot companies like Leju Robotics and Zhiyuan Robotics also pursuing IPOs [2]. - The rapid progress of Yushu Technology's IPO has drawn significant market attention, with its original shares being actively traded and sought after in the primary market [1][2]. Group 3: Challenges Post-IPO - Humanoid robot companies face a dilemma post-IPO regarding whether to prioritize profitability or to increase capital expenditures for technological advancements [9]. - The market may encounter challenges such as potential sales bottlenecks in educational and exhibition humanoid robots after 2025, and issues related to production capacity and delivery in industrial humanoid robots [9][10]. - The industry is debating the effectiveness of "end-to-end" versus "remote operation" humanoid robots, with each approach presenting its own set of challenges and market expectations [10]. Group 4: Future Outlook - The IPO is seen as a significant milestone for Yushu Technology, which must evolve to meet market expectations as a public company [11].

Core Insights - Yushu Technology's IPO process has accelerated, with the company moving into the "acceptance" stage of its counseling status, indicating readiness to submit its IPO prospectus by the end of 2023 [1][4] - The rapid progress of Yushu Technology's IPO counseling, completed in just 132 days, sets a record in the A-share market, significantly faster than the average duration of 6 to 12 months [6][7] - The company has met the basic requirements for A-share listing, with annual revenue exceeding 1 billion yuan, positioning it favorably in the capital market [7] Group 1: IPO Progress - Yushu Technology has completed its counseling work with the assistance of a large team from CITIC Securities, indicating a strong commitment to expedite the IPO process [4] - The company is expected to submit its IPO registration application shortly after the counseling acceptance, potentially achieving a historic milestone in the A-share IPO timeline [1][6] - The recent changes in the board of directors are seen as a crucial step in establishing a robust governance structure for the upcoming IPO [5][6] Group 2: Market Position and Competition - Yushu Technology is recognized as a leading player in the capital market, with other humanoid robot companies also pursuing IPOs, indicating a strong demand for capital in the robotics sector [2] - The challenges faced by humanoid robot companies post-IPO include balancing profitability with the need for continued capital investment in technology and development [8][9] - The market's perception of humanoid robots may be influenced by their performance in industrial applications, with ongoing debates about the effectiveness of different operational models [9] Group 3: Future Considerations - The success of Yushu Technology's IPO will depend on its ability to meet market expectations and navigate the complexities of being a public company [9][10] - The company must address potential pitfalls in revenue generation and operational efficiency to maintain investor confidence post-IPO [8][9] - The evolving landscape of the humanoid robotics market will require Yushu Technology to adapt its strategies to align with investor interests and market demands [9]

Core Viewpoint - Yushu Technology is accelerating its IPO process, having completed the preparatory work for submitting its IPO prospectus, with expectations to file between October and December 2023 [1][2]. Company Progress - Yushu Technology has entered the "acceptance" stage of its IPO guidance, indicating that it is on track to submit its IPO registration application soon [1]. - The company completed its IPO guidance in just 132 days, significantly faster than the average duration of 6-12 months for similar processes in the A-share market [4]. - The company’s founder revealed that Yushu Technology's annual revenue has exceeded 1 billion yuan, meeting the basic requirements for A-share listing [5]. Market Context - Yushu Technology is positioned as a leading player in the capital market, with other humanoid robot companies also seeking to capitalize, such as Leju Robotics and Zhiyuan Robotics [2]. - The rapid completion of Yushu Technology's IPO guidance has drawn significant market attention, with original shareholders' stakes being highly sought after [1][2]. Governance and Structure - Recent changes in the board of directors are seen as a key step in establishing a robust governance structure for the company, with new members having extensive experience in corporate governance [3][4]. Industry Challenges - The humanoid robot industry faces challenges post-IPO, including the balance between profitability and capital expenditure, as companies must maintain investor confidence while investing in advanced technologies [7]. - Concerns exist regarding the marketability and performance of humanoid robots in industrial applications, with potential issues in yield, delivery, and capacity [8]. Future Considerations - The market's reception of humanoid robot companies will depend on their ability to demonstrate production capabilities and delivery performance, as well as their strategic focus on AI investments versus traditional consumer robotics [8].

Core Insights - The emergence of Vision Language Action (VLA) models signifies a shift from traditional strategy-based control to a paradigm of general robotic technology, transforming visual language models (VLM) from passive sequence generators to active agents capable of manipulation and decision-making in complex, dynamic environments [2] Group 1: VLA Overview - The article discusses a comprehensive survey on advanced VLA methods, providing a clear taxonomy and systematic review of existing research [2] - VLA methods are categorized into several main paradigms: autoregressive, diffusion-based, reinforcement-based, hybrid methods, and specialized methods, with detailed examination of their motivations, core strategies, and implementations [2] - The survey integrates insights from over 300 recent studies, outlining the opportunities and challenges that will shape the development of scalable, general VLA methods [2] Group 2: Future Directions and Challenges - The review addresses key challenges and future development directions to advance VLA models and generalizable robotic technologies [2] - The live discussion will explore the origins of VLA, its research subdivisions, and the hot topics and future trends in VLA [5] Group 3: Event Details - The live event is scheduled for October 18, from 19:30 to 20:30, focusing on VLA as a prominent research direction in artificial intelligence [5] - Key highlights of the event include the classification of VLA research fields, the integration of VLA with reinforcement learning, and the Sim2Real concept [6]

Core Insights - The core focus of the company is on the commercialization and practical application of general-purpose humanoid robots, aiming to integrate them into various industries and scenarios [2][3][5] Group 1: Company Overview - Magic Atom, founded in January 2024, has rapidly completed two rounds of financing exceeding 100 million yuan within six months, establishing itself as a significant player in the robotics sector [3] - The company has developed a closed-loop ecosystem that includes full-stack self-research technology, comprehensive layout, and scenario-based applications, ensuring a solid foundation for its commercialization process [3][6] Group 2: Technological Development - The company has self-developed a dexterous hand and a general-purpose embodied intelligence model, enabling robots to perform tasks across various scenarios with human-like operational capabilities [4][6] - Magic Atom's hardware self-research rate is 90%, covering key components such as joint modules, dexterous hands, reducers, and drivers, which allows for rapid application of cutting-edge technology [6] Group 3: Market Strategy - The company emphasizes the importance of general-purpose robots to unlock their potential across diverse industries, avoiding limitations caused by fragmented applications [5][10] - The "Thousand Scenes Co-Creation Plan" aims to expand partnerships with 1,000 collaborators and create 1,000 application scenarios for humanoid robots, with over 50 leading companies already participating [5][10] Group 4: Application Scenarios - Industrial applications are a primary focus, with the humanoid robot MagicBot undergoing extensive training in factory environments to adapt to complex collaborative tasks [8][9] - The company is also exploring commercial and home scenarios, deploying robots for tasks such as welcoming customers and providing companionship [9][10] Group 5: Future Outlook - The transition from B-end to C-end markets is anticipated to take at least five years, requiring advancements in technology and significant cost reductions for widespread household adoption [10][12] - The company is committed to continuous technological breakthroughs and cost reductions while leveraging B-end experiences to build trust and facilitate the transition to C-end markets [10][12] Group 6: Talent and Organizational Structure - The company has a young and dynamic team, with over 80% of its 300 employees in research and development, fostering an innovative environment through a quarterly innovation incentive mechanism [13][14] - Magic Atom values talent that fills strategic gaps and brings diverse perspectives, ensuring a results-oriented approach to career development and organizational growth [14][15]

Core Insights - The article discusses the emergence and potential of Vision Language Action (VLA) models in robotics, emphasizing their ability to integrate perception, language understanding, and action execution into a unified framework [10][16]. Group 1: Introduction and Background - Robotics has evolved from relying on pre-programmed instructions to utilizing deep learning for multi-modal data processing, enhancing capabilities in perception and action [1][10]. - The introduction of large language models (LLMs) and vision-language models (VLMs) has significantly improved the flexibility and precision of robotic operations [1][10]. Group 2: Current State of VLA Models - VLA methods are categorized into four paradigms: autoregressive, diffusion, reinforcement learning, and hybrid/specialized methods, each with unique strategies and mechanisms [7][9]. - The development of VLA models is heavily dependent on high-quality datasets and realistic simulation platforms, which are crucial for training and evaluation [15][17]. Group 3: Challenges and Future Directions - Key challenges in VLA research include data limitations, reasoning speed, and safety concerns, which need to be addressed to advance the field [7][9]. - Future research directions are identified, focusing on enhancing generalization capabilities, improving interaction with dynamic environments, and ensuring robust performance in real-world applications [16][17]. Group 4: Methodological Innovations - The article highlights the transition from traditional robotic systems to VLA models, which unify visual perception, language understanding, and executable control in a single framework [13][16]. - Innovations in VLA methodologies include the integration of autoregressive models for action generation, diffusion models for probabilistic action generation, and reinforcement learning for policy optimization [18][32]. Group 5: Applications and Impact - VLA models have been applied across various robotic platforms, including robotic arms, quadrupeds, humanoid robots, and autonomous vehicles, showcasing their versatility [7][15]. - The integration of VLA models is seen as a significant step towards achieving general embodied intelligence, enabling robots to perform a wider range of tasks in diverse environments [16][17].