针对这些痛点，来自 中山大学计算机学院谭宁老师团队 了一套创新解决方案 ： 将神经常微分方程（ NODE）的数据高效建模能力与预设时间同步稳定归零神经动力学（PTSS-ZND）模型的可靠控制特性相结 合，构建出兼具高效性与稳定性的新型控制系统。 这一成果已被国际顶级期刊《 IEEE Transactions on Robotics》录用，为连续体机器人技术的突破奠定了基础。 在仿生机器人的前沿探索中，连续体机器人已成为一个备受瞩目的新兴领域，代表着当前技术创新的一个重要 前沿方向。 连续体机器人的设计灵感源自自然界中的软体生物，如象鼻、章鱼触手和蛇类。与传统由刚性连杆和明确关节 组成的机器人不同，连续体机器人全身柔软可弯曲，能在三维空间中连续变形。这种特性赋予了它们无与伦比 的灵活性：可以挤过比自身直径更窄的空间，能安全地与脆弱物体或人类互动，且易于微型化。 但这份 "柔性优势" 背后，是巨大的技术挑战。传统机器人的运动规律可以通过刚体力学精确描述，而连续体 机器人的形变过程涉及复杂的力学耦合，如同用数学公式描述水流的任意形态，难度极大。 早期，工程师们采用 "分段常曲率假设" 建模，将机器人近似为一系列弯曲 ...

Group 1 - The core narrative of artificial intelligence (AI) has evolved beyond mere parameter competition to focus on practical applications and economic value, showcasing the industry's potential to reshape productivity and workflows [2] - 2025 is marked as a pivotal year for AI, characterized by the emergence of innovative applications and the establishment of AI in various industries, indicating a significant shift towards value realization [2] - The EDGE AWARDS AI Innovation list highlights a blend of innovation and practicality, recognizing both tech giants and startups that bridge technology with human needs, thereby enhancing the real-world impact of AI [3] Group 2 - The AIGC Technology Pioneer award recognizes companies that have achieved key technological breakthroughs in AIGC and successfully commercialized these innovations, significantly expanding the capabilities of AIGC [4] - Alibaba Cloud has built a robust intelligent computing platform centered around "cloud + large models," promoting scalable deployment and sustainable evolution of productivity tools [6] - iFlytek has made significant advancements in AI, particularly in speech and cognitive intelligence, with the launch of the Xunfei Spark X1.5 model, which boasts enhanced efficiency and multilingual capabilities [7] - DeepSeek has achieved top-tier performance in various AI applications, driving the practical implementation of AIGC technology through innovative model architecture [8] - Amazon Web Services provides a solid foundation for AIGC technology development, lowering application barriers and costs while fostering a comprehensive AI service ecosystem [9] Group 3 - Baidu has made notable strides in AI, launching the 24 trillion parameter Wenxin model 5.0 and various applications, including the commercial super-intelligent agent "Famu" and real-time interactive digital human "Huibo Star" [12] - Kuang-Chi Technology focuses on AI-driven solutions for the textile and apparel industry, leveraging new technologies to enhance digitalization and intelligent upgrades across the supply chain [21] - The AI Super Teacher from Zuoyebang replicates the logic and feedback of a real teacher, marking a transition in educational AI towards a more intelligent and proactive learning model [32] - The AI Office Notebook from Sibeichi integrates large models with office products, enhancing work efficiency through features like AI note-taking and task management [40]

以下文章来源于雷峰网 ，作者高景辉 雷峰网 . 别的机器人赛跑都在公路上，这场比赛机器人直接去越野了，而且场地还是在香港中文大学岭南校区的一个小径 上。这里路面狭窄，左右只有一米，而且山间小道，路面湿滑，极影响机器人与地面之间的摩擦力，还有坡度不 定带来的平衡问题，以及树叶遮挡带来的光线变化等等，不管是双足机器人还是四足机器人，如果它们能开口的 话，肯定会直接说，我不走了。 洞见智能未来，共与产业变迁 " 唯有智能，才能让机器人活过来。 " 作者丨高景辉 编辑丨马晓宁 "这也太难了吧。"比赛之前，主办方采访正在备赛的选手，几乎每一个人都叫苦连天。 就连比赛的讲解员、香港中文大学窦琪教授，比赛直播一开场也给大家打了一剂预防针："这场比赛的四个赛题， 瞄准的都是具身智能领域难以攻克的难题。" 难，就难在考题都太 真实 了。 垃圾分拣题目里面，机器人面对的三个物体，香蕉模型的难点是柔软难抓取，塑料瓶的难点是透明不容易识别， 纸盒的难点是不受力易形变，哪一个都不是省油的灯。 至于另一边的浇花题目，不仅要浇在白色的花上才得分，而且机器人的手拿水壶远没有人类那么方便，一开始就 被教授们认为是最难的题目。还有吊桥题目，一不 ...

Group 1 - The core viewpoint of the news highlights the ongoing advancements in AI technology and its commercialization, with a focus on cost reduction as a key strategy for adoption [2] - The Zhongzheng AI Theme Index (930713) has shown a slight increase of 0.03%, with notable gains from constituent stocks such as Beijing Junzheng (300223) up 11.33% and Deep Sanda A (000032) up 6.38% [1] - The AI ETF (512930) has also experienced a minor increase of 0.09%, indicating a positive trend in the AI investment landscape [1] Group 2 - ByteDance's Seed team has launched the Seed Prover 1.5 model, which achieved a score of 35/42 in generating verifiable Lean proof code, meeting the gold medal standard for the IMO 2025 [1] - Longjiang Securities notes that Google's release of the Gemini 3.0 Flash version aims to provide cutting-edge intelligence at a lower cost, reflecting a shift from technology validation to commercial implementation in the AI industry [2] - The top ten weighted stocks in the Zhongzheng AI Theme Index account for 63.92% of the index, indicating a concentration of investment in key players within the AI sector [3]

本报讯(记者袁传玺)天眼查工商信息显示，近日，山东沂讯信息科技有限公司成立，注册资本5000万 元，经营范围包括人工智能公共服务平台技术咨询服务、集成电路设计、人工智能基础软件开发等。股 东信息显示，该公司由科大讯飞（002230）全资持股。 ...

Core Insights - The article discusses the insights from the sixth China Robot Industry Annual Conference, emphasizing the evolution and challenges of embodied intelligence in the robotics sector [1][2][3]. Group 1: Industry Overview - The global annual installation of industrial robots is approximately 600,000 units, with China accounting for over 50% of this market share, showcasing significant domestic achievements in robot manufacturing [5]. - The number of robotics-related companies in China surged from over 300,000 to nearly 1,000,000 within five years, indicating a booming industry [5][9]. - The concept of "embodied intelligence" has gained traction since 2022, driven by major companies like Tesla and NVIDIA, which has redefined the robotics landscape [5][11]. Group 2: Market Dynamics - Despite the enthusiasm in the market, there are concerns about potential bubbles, as the financing scale has exceeded 10 billion in the past two years, driven by unrealistic growth expectations [6][9]. - The article highlights the dual nature of bubbles, suggesting that while they can fuel innovation, they also pose risks if companies fail to establish viable business models and technological barriers [9][11]. Group 3: Strategic Insights - The article outlines three major challenges for the robotics industry: the lack of closed-loop scenarios, misjudgment of technological thresholds, and severely overstated valuations [3][11]. - It emphasizes the importance of core technologies and the need for companies to possess unique technological advantages to survive in a competitive market [9][11]. Group 4: Pathways to Success - The article presents three strategic pathways for different players in the robotics ecosystem: 1. "Brain-first" approach focusing on comprehensive technological disruption, exemplified by companies like Tesla [12][16]. 2. "Body-first" strategy for established robotics firms to integrate intelligence into existing products [12][16]. 3. "Vertical intelligence" approach for startups to focus on niche markets and specific applications [12][16]. Group 5: Survival Strategies - The article outlines three core survival strategies for startups in the robotics sector: 1. Define specific application scenarios to address practical challenges [19]. 2. Recognize the distinct paths required for industrial versus consumer applications [20]. 3. Balance between national strategic goals and market realities to ensure sustainable growth [21]. Group 6: Future Outlook - The article anticipates that future entrepreneurial and investment opportunities will center around breakthroughs in key technologies and the realization of value in real-world applications [23]. - It highlights the importance of continuous evolution and integration of core modules such as decision-making, control, and perception in robotics [25].

Core Viewpoint - Recently, Keda Xunfei established a wholly-owned subsidiary named Shandong Yixun Information Technology Co., Ltd. with a registered capital of 50 million yuan [1] Group 1: Company Establishment - Shandong Yixun Information Technology Co., Ltd. was founded with a legal representative named Liu Shenghua [1] - The company is fully owned by Keda Xunfei [1] Group 2: Business Scope - The business scope includes services such as artificial intelligence public service platform technology consulting, integrated circuit design, and development of basic artificial intelligence software [1]

Core Viewpoint - The investment in the computer industry should focus on the three-dimensional framework of "fundamentals, cost-effectiveness, and attractiveness," with artificial intelligence (AI) as the core theme of the technology cycle, driven by policy support, technological evolution, and demand release, forming a "multi-dimensional resonance" [1][3]. Industry Review - As of December 16, 2025, the Shenwan Computer Index has increased by 17.07%, slightly lower than the CSI 300 (+17.72%) and the CSI 1000 (+23.88%), ranking 14th among 31 Shenwan first-level industries, indicating a mid-level overall performance [2]. - The sector exhibited high volatility compared to the market average, reflecting strong elasticity, with mid-cap stocks (market cap of 10 billion to 20 billion) showing an average increase of 40.64%, significantly outperforming other market cap segments [2]. - The institutional holding ratio is approximately 2.16%, with an underweight ratio of -2.52%, indicating a low level but a stabilization of the downward trend, suggesting potential for recovery in allocation [2]. Industry Outlook - The investment in the computer industry should be based on the three-dimensional framework of "fundamentals, cost-effectiveness, and attractiveness," with AI remaining the core theme of the technology cycle [3]. - The "14th Five-Year Plan" emphasizes "technological self-reliance," providing strong support for AI, "new productivity," and trusted computing [3]. - The global focus of AI development is shifting from training to inference, with Gartner's 2025 technology maturity curve indicating that edge AI is expected to mature within two years [3]. Demand Side - The global token call volume has surged, with leading model companies like OpenAI and Anthropic experiencing rapid revenue growth, and cloud vendors' AI-related revenue increasing by over 20% year-on-year [4]. - The demand for domestic intelligent computing centers is projected to grow from 2016 MW in 2024 to 9480 MW in 2027, with a CAGR of 67.5%, indicating continuous infrastructure investment [4]. Investment Strategy - Focus on AI as the main line, with attention to the recovery of trusted computing and structural opportunities in emerging/future industries [5]. - On the AI computing side, attention should be paid to domestic AI chip manufacturers (e.g., Haiguang Information, Cambricon) and AI servers [5]. - The trusted computing industry is expected to reach a scale of 2.34 trillion yuan by 2025, with significant growth potential [5].

Group 1 - The National Robot Industry Index (980022) has increased by 0.46%, with notable stock performances including Lingyi iTech up 3.16% and Nanwang Technology up 2.36% [1] - The robot ETF E Fund (159530), which tracks the National Robot Industry Index, has seen a net inflow of over 260 million in the last two days and over 920 million in the last 20 days, with a total fund size reaching 12.704 billion [1] Group 2 - The first open robot rental platform "Qingtian Rental" was launched in Shanghai, covering over 50 core cities and more than 600 service providers, with rental prices ranging from 200 to over 10,000 yuan [3] - By 2026, the platform is expected to expand its rental services to over 200 cities, transforming the high-threshold robot usage scenarios into a convenient rental model similar to shared power banks [3] - A Morgan Stanley report indicates that while the humanoid robot market will remain hot in 2026, there are risks of hype versus practical value, with challenges in technology development and a potential shakeout of startups [3] Group 3 - The National Robot Industry Index is characterized by a significant weight of humanoid robots, with the top ten weighted stocks accounting for about 40%, including leading companies like Huichuan Technology and iFlytek [4] - The index focuses on high-growth leaders in the sector, indicating strong market competitiveness and high technical barriers [4] Group 4 - The robot ETF E Fund (159530) provides an efficient tool for investors to gain exposure to the entire robot industry chain [5] - There are also off-market fund shares available for the robot ETF, including Link A (020972) and Link C (020973) [6]

Core Viewpoint - The online consumption theme index has shown a slight decline, reflecting mixed performance among constituent stocks, while policy initiatives aim to enhance market expansion and capture potential demand through data-driven approaches [1][2]. Group 1: Market Performance - As of December 24, 2025, the CSI Hong Kong-Shanghai-Deep Online Consumption Theme Index (931481) decreased by 0.51% [1]. - Among constituent stocks, Zhejiang Shuzhi Culture (600633) led with a gain of 1.84%, while Giant Network (002558) experienced the largest decline at 4.47% [1]. - The online consumption ETF fund (159793) is currently priced at 1.01 yuan, indicating a state of market indecision [1]. Group 2: Policy Initiatives - Policies emphasize the need to seize market expansion opportunities, closely monitor macroeconomic conditions, and enhance structural and trend analysis of industry operations [1]. - There is a focus on utilizing big data models to accurately capture potential market demand and innovate in product and service quality [1]. Group 3: Emerging Consumer Trends - The growth of emerging consumer goods reflects new consumption concepts among younger generations, highlighting the importance of understanding these narratives for investment opportunities [2]. - Recommendations include focusing on high-quality domestic brands in beauty care, head brands in traditional gold jewelry favored by younger consumers, and strong tea brands with extensive market coverage [2]. Group 4: Index Composition - As of November 28, 2025, the top ten weighted stocks in the CSI Hong Kong-Shanghai-Deep Online Consumption Theme Index include Alibaba-W (09988), Tencent Holdings (00700), and Meituan-W (03690), collectively accounting for 55.21% of the index [3].