Core Viewpoint - The article discusses the limitations of traditional aerial robotic arms and introduces a breakthrough in omnidirectional aerial robotic arms (OAM) that can perform complex tasks with enhanced flexibility and stability [1][2]. Group 1: Limitations of Traditional Aerial Robotic Arms - Traditional aerial robotic arms are often mounted on under-actuated multi-rotor drones, limiting their movement directions and making it difficult to perform complex tasks [4]. - The small working space of traditional aerial robotic arms restricts their ability to reach objects in confined spaces or at awkward angles, leading to potential collisions [6]. - Control and planning systems of traditional aerial robotic arms face significant challenges, including singularity issues and lack of coordination between the drone and the robotic arm [7]. Group 2: Innovations in Omnidirectional Aerial Robotic Arms - The research team from Seoul University developed the omnidirectional aerial robotic arm, featuring a unique omnidirectional multi-rotor base that allows for any orientation in the air [8]. - The system includes a multi-degree-of-freedom robotic arm with four rotational joints and a gripper, creating a highly flexible operational platform [10]. - To achieve practical application, the researchers focused on two core issues: stable control and intelligent planning [11]. Group 3: Control and Planning Mechanisms - The gRITE controller was developed to handle three-dimensional rotational geometry, avoiding traditional Euler angle singularity issues and maintaining stability during operations [12][14]. - An innovative two-step planning method was proposed, where the first step involves offline planning of the end-effector trajectory, and the second step involves real-time planning of the entire robot's movements [17][18]. - This two-level planning architecture ensures global optimization while allowing real-time responsiveness, with a planning frequency exceeding 10Hz [19]. Group 4: Experimental Validation - The research team conducted multiple experiments to validate the capabilities of the omnidirectional aerial robotic arm, demonstrating superior performance in tasks that traditional systems could not accomplish [20]. - In comparative experiments, the gRITE controller outperformed five other controllers in terms of disturbance resistance and tracking accuracy, especially at extreme angles [23]. - The omnidirectional aerial robotic arm successfully executed tasks such as grabbing and moving objects from various angles, showcasing its versatility compared to traditional systems [26][29].

FlexiRay 与人手感知模态对比及应用场景示意图 在软体机器人交互领域，长期存在着一对核心矛盾：结构柔顺性与感知精确性难以兼顾。传统视触觉传感器（ VTS ）虽能提供高分辨率反馈，但往往依赖刚性结 构以维持光路稳定，牺牲了软体抓手本质的柔顺适应能力；而现有的柔性传感器设计，在大变形下又面临视野遮挡和感知盲区的难题。 浙江大学 Grasp Lab 研发的视触觉一体化软体夹爪 FlexiRay ，以"光学系统 - 柔性结构 -AI 感知"的深度融合为核心路径，创新性地结合了仿生 Fin Ray 效应与 多反射镜光学阵列，成功复现了人手的五大核心触觉模态。 FlexiRay 不仅保留了软体抓手的大变形自适应能力，更在剧烈形变下实现了超过 87% 的有效感知覆 盖率，为软体机器人的智能化交互开辟了"全域感知、柔顺操作"的新赛道。 FlexiRay 柔顺抓取的纹理效果及感知覆盖示意图 ▍ 结构与光学革新：化 "遮挡"为"视窗"，重构柔性感知视野 机械结构与光学系统的协同设计是 FlexiRay 的硬件基石。 Grasp Lab 团队突破了"限制形变以保视觉"的传统思路，转而利用形变，通过系统级优化解决了软体抓 手大 ...

Core Insights - The article discusses a significant study published in "Science Robotics" that provides robust clinical evidence for the use of robotic therapy in treating children with Autism Spectrum Disorder (ASD) [1][4]. Group 1: Clinical Challenges - Traditional therapies for ASD face challenges due to children's difficulties in social interaction and communication, leading to a decline in interest and attention during repetitive training sessions [5]. - Robots are seen as potential ideal therapists due to their predictable behavior and ability to maintain children's interest, but past research has lacked sufficient clinical evidence [5] [6]. Group 2: Research Design - The study employed a rigorous methodology, conducting both efficacy and effectiveness trials to assess the therapy's performance under ideal and real-world conditions [6][7]. - The efficacy trial involved 69 children aged 4.4 years on average, comparing robot-assisted therapy (RAT) with standard human therapy (SHT) across three core skills: imitation, joint attention, and turn-taking [8][10]. Group 3: Key Findings - Both trials confirmed that robot-assisted therapy achieved statistically equivalent results to traditional therapy in improving core social skills [12]. - Children showed significantly higher engagement with robots, evidenced by increased eye contact (8.01 vs. 5.54) and smiles (7.72 vs. 3.80) during tasks, addressing the issue of declining interest in traditional therapies [16]. - The simplified version of the robot therapy platform was effective even in real educational settings, demonstrating its potential as a supplementary tool [18]. Group 4: Broader Implications - The study establishes a standardized protocol for robot-assisted interventions, moving beyond fragmented explorations in the field [20]. - The high engagement levels provided by robots offer new solutions to motivation issues in traditional therapies, transforming repetitive exercises into interactive games [21]. - Future research aims to enhance robot capabilities with advanced sensors and AI for more personalized interactions, making the technology accessible to a broader audience [21].

Core Viewpoint - The article discusses the launch of the AI companion robot Eva.i, which features a constant body temperature of approximately 37°C, aiming to create a new dimension of "realistic tactile" interaction and emotional connection with users [1][4][6]. Group 1: Technology and Features - Eva.i utilizes two patented technologies: a high-sensitivity flexible printed circuit (FPC) bionic electronic skin that can sense pressure and temperature changes, and a graphene temperature control system that maintains a surface temperature close to human body temperature [7][9][10]. - The robot is equipped with 24GB LPDDR5X memory, a neural network processor (NPU), and 256GB storage, supporting Wi-Fi 6 and Bluetooth 5.2, with 21 independent motors for natural posture transitions [12]. - Eva.i employs a multimodal interaction system that integrates visual, audio, and tactile technologies to interpret basic expressions and tones, evolving over time to provide personalized responses [15]. Group 2: Emotional Connection and Relationship - The design philosophy of Eva.i emphasizes creating a "fourth type of relationship" that exists between humans, pets, and objects, allowing users to engage without the burden of reciprocation [18][20]. - The robot is intended to provide emotional support and companionship, accepting all emotions without judgment, and is designed to be a non-intrusive presence in users' lives [20][21]. Group 3: Application Scenarios - Eva.i targets various application scenarios, including providing emotional support for urban dwellers, serving as a social center for digital natives, being a companion for the elderly, acting as a personalized receptionist in high-end venues, and functioning as an emotional co-pilot in autonomous vehicles [25][27]. - The robot's data processing is designed to prioritize user privacy, with local algorithms and encrypted sensitive interaction data [24]. Group 4: Market Position and Future Plans - Eva.i plans to launch a crowdfunding campaign on Kickstarter, with a limited release of 200 units, aiming for hardware delivery by April 2026 [29]. - The global emotional AI market is projected to grow at a compound annual growth rate of 22.7%, positioning Eva.i as a novel attempt to create a new form of companionship rather than making machines more human-like [29].

Core Insights - Neuralink aims to help paralyzed patients regain mobility, but its ultimate vision may extend to transcending physical limitations through brain-machine interfaces [3][27] - Over 10,000 individuals are currently on the waiting list for Neuralink's procedures, highlighting the demand for this technology [28] Group 1: Technology and Innovation - The core technology of Neuralink is a surgical robot that performs the implantation of electrodes with precision, significantly reducing the time taken for each electrode from 17 seconds to 1.5 seconds [9][5] - The robot can implant electrodes at depths exceeding 50mm, which is crucial for advanced functionalities like restoring vision [18] - Neuralink has developed a complex visual system that integrates multiple microscopes and OCT technology to enhance the robot's precision during surgery [12][14] Group 2: Clinical Applications - The first human subject, Noland Arbaugh, successfully controlled a computer mouse using only his thoughts one month after implantation, demonstrating the practical application of the technology [19][21] - Approximately 13 patients with conditions such as spinal cord injuries and ALS have already received Neuralink's brain-machine interface, allowing them to regain interaction capabilities [21][22] - Patients using the brain-machine interface report an average daily usage of 8 hours, indicating its integration into their daily lives [24] Group 3: Future Goals and Challenges - Neuralink's long-term goals include developing systems for sensory restoration and enhancing cognitive abilities, aiming to read and write signals from any brain region [25][27] - The company faces significant engineering challenges in scaling its operations from a few patients to thousands, requiring automation in manufacturing, surgery, and maintenance processes [29][30] - Neuralink is working to increase the number of channels in its implants from 1,000 to tens of thousands, which is essential for more advanced functionalities [33]

Core Viewpoint - The conference organized by Locus Robotics focused on the theme "Embodied Leap • Ecological Co-prosperity," emphasizing the importance of collaboration across the industry chain to overcome technological bottlenecks and achieve large-scale applications in the field of embodied intelligence and robotics [1]. Group 1: Industry Trends and Developments - The rapid advancement of artificial intelligence is reshaping various industries, with "embodied intelligence" being included in government work reports by 2025, marking a critical phase in the reconstruction of productivity [1]. - The conference highlighted the need for open collaboration and value co-creation within the industry chain to drive technological breakthroughs and cross-industry development [2][4]. - Locus Robotics aims to leverage its core technologies and product matrix to foster collaboration across the industry chain, enhancing innovation and sustainability in the embodied intelligence ecosystem [4]. Group 2: Academic Insights and Technological Evolution - Professor Yang Jianfei from Nanyang Technological University presented on "Physical Intelligence: From Perceptual Intelligence to Embodied Intelligence," discussing the evolution of embodied intelligence and its core research directions, including locomotion and task understanding [5][7]. - Key points for achieving practical applications of robotics in the embodied intelligence era include developing stable hardware platforms, collecting high-quality data, and utilizing large models for better decision-making [7]. Group 3: Industry Applications and Innovations - Wang Dong, Technical Director of Lingchu Intelligent, discussed the transition from "mobility" to "dexterous manipulation" as a significant trend in the robotics industry, emphasizing the importance of real human data for model training [8][10]. - The integration of algorithms, hardware, data, and scenarios is crucial for achieving breakthroughs in long-range dexterous operations, with a focus on collaborative efforts across various dimensions [10]. - The future of manufacturing is expected to be characterized by "manufacturing equals intelligence," with embodied intelligence technologies enhancing robots' perception and adaptability to meet the challenges of diverse production needs [12]. Group 4: Collaborative Efforts and Future Directions - The roundtable discussion featured experts from various sectors, exploring the practical applications and future directions of embodied intelligence technology, emphasizing the need for collaborative innovation to overcome bottlenecks [17][19]. - The conference concluded with a call for continued focus on core technologies in embodied intelligence and the establishment of standards to facilitate large-scale applications, reinforcing the foundation for ecological co-construction in the industry [21].

让 软体机器人既拥有大变形能力，又具备强劲的负载力，一直是科学家们头痛的难题。这背后，是传统人造 肌肉结构中的一道 "先天枷锁"：要想变形大，结构就得松；要想力气大，结构就得紧。 最近，华南理工大学 周奕彤 课题组 （课题组网站： http://www.zhouyitonglab.com/index.html） 从 生命最 精密的 的 "压缩 程序 "染色体身上找到了 关键 灵感。他们模仿染色体多层次螺旋折叠的结构，在单根聚合 物纤维中，首次实现了可编程的多级螺旋结构，一举突破了人造肌肉中 "大变形"与"高负载"不可兼得的经典 困境。这项 突破性 研究于近期 已 发表在材料科学知名期刊《 ACS Applied Materials & Interfaces 》 上。 | | | 二级螺旋：把一根已经盘好的弹簧作为新绳索，再次盘绕成更大的弹簧 ， 结构立刻复杂起来。 三级螺旋：将二级结构进行第三次盘绕，形成极其复杂的 "弹簧的弹簧的弹簧"。 ▍ 灵感来源：生命自带的 "压缩算法" 为什么染色体能成为灵感源泉？想象一下，长达数米的 DNA 链如何有序地折叠进微米级的细胞核里？答案就 是多层次螺旋结构。染色体通过一 ...

Group 1 - The article discusses the upcoming release of a new industrial-grade embodied intelligent robot by a company named 新时达, emphasizing its understanding of industrial needs [1][2] - The focus is on how this new robot will address specific requirements in the industrial sector, suggesting a tailored approach to robotics in manufacturing and automation [1] - The article hints at a significant event on December 29, where the new product will be unveiled, indicating a strategic move in the robotics market [2] Group 2 - The article lists various companies involved in different segments of the robotics industry, including industrial robots, service robots, medical robots, humanoid robots, and core components [6][8][9][10][11][12] - It highlights the diversity within the robotics sector, showcasing a range of companies from automation to healthcare, indicating a broad market landscape [6][8][9][10][11][12] - The mention of a community platform for discussions on robotics suggests an active engagement in knowledge sharing and collaboration within the industry [13]

12月18-19日，第六届中国机器人行业年会在杭州举行。这场汇聚了超2000名行业专家企业家及从 业者的年度盛会，已成为解码机器人技术与商业未来的高端对话场。 机器人大讲堂特现推出系列深度报道，梳理大会现场行业顶尖专家与知名企业的核心洞见，探寻中国 机器人在具身智能时代的破局之路。 本期聚焦 【张延柏】 以全栈实力破局，定义灵巧手的"中国方案" 张延柏 灵心巧手 联合创始人 随着具身智能成为连接数字世界与物理世界的核心赛道，灵巧手作为关键执行器，正成为产业爆发的核心抓 手。摩根士丹利预测，到 2050年具身智能产业规模将达5万亿美元，其中灵巧手市场占比10%-20%，有望催 生千亿级增量市场。 在这场产业浪潮中，灵心巧手（北京）科技有限公司已确立领先地位 ——全球唯一实现连杆、腱绳、指驱全 技术路线覆盖，高自由度灵巧手占据全球80%以上市场份额，单月出货量突破千台。近日，灵心巧手联合创 始人张延柏在第六届中国机器人行业年会上，接受机器人大讲堂独家专访，深度分享了公司的技术布局、产品 创新、生态战略，以及对具身智能产业未来的深刻洞察。 ▍技术布局：全路线覆盖，锚定腱绳结构长期潜力 在机器人灵巧手领域，技术路线的 ...

Core Viewpoint - Vbot's successful pre-sale of the Vbot Super Dog marks a significant milestone in the consumer-grade embodied intelligence market, demonstrating a shift from niche robotics to mainstream consumer products [1][3][35] Group 1: Product Launch and Market Response - Vbot announced its public testing phase on December 25, 2025, coinciding with the company's one-year anniversary [1] - The product received over 1,000 orders within 52 minutes of its launch, exceeding initial expectations and showcasing strong consumer interest [3] - A clear timeline for public testing and order fulfillment was established, with the first round of public testing set for January 12, 2025 [3] Group 2: Market Dynamics and Consumer Behavior - The Vbot Super Dog was priced at 9,988 yuan, achieving over 10 million yuan in sales on its first day, setting a record in the robotics industry [6][24] - Social media discussions highlighted the product's user-friendly features, such as not requiring a remote control and being suitable for all family members [8] - The market for quadruped robots in household settings is growing at a compound annual growth rate of 68%, with consumer-grade products contributing over 55% to the market in 2023 [13] Group 3: Technological Advancements - Vbot Super Dog utilizes advanced technology, including a 128TOPS AI processing capability, enabling it to understand its environment in three dimensions [27][29] - The integration of 360° Lidar and UWB positioning allows the robot to navigate complex environments autonomously, reducing reliance on user input [29] - The product's design emphasizes safety and user interaction, with features like a 594Wh battery providing 5 hours of runtime and a quick charge time of 2.5 hours [20][22] Group 4: Future Implications - Vbot's approach signifies a paradigm shift in robotics, moving from being seen as toys for enthusiasts to becoming intelligent companions in everyday life [15][35] - The product's success illustrates the potential for embodied intelligence to integrate into various aspects of daily living, from companionship to educational tools for children [33]