Core Insights - IROS 2025 will be held in Hangzhou, China, from October 19 to 25, 2025, marking the second time this prestigious conference is hosted in China since 2006 [3] - The event aims to showcase cutting-edge advancements in intelligent robotics and automation, gathering over 6000 experts, scholars, and enterprises from around the globe [3] - A new initiative, the IROS 2025 Startup Forum, will facilitate connections between academic research and entrepreneurial ventures, focusing on investment opportunities [2][4] Event Details - The theme of the Startup Forum is "Entrepreneurs and Investors at West Lake," emphasizing collaboration between academia, startups, and capital [6] - The forum will take place during the IROS 2025 conference, with specific timing and location to be announced [6] - Target participants include entrepreneurs in embodied intelligence and robotics, angel investors, venture capital representatives, and local government officials [6] Registration Information - Interested parties can register via a provided QR code or link, with a deadline set for October 12, 2025 [7][9] - Registration requires details about core technologies, funding needs, and project ideas for entrepreneurs, while investors must specify their focus areas [9] Organizer's Value Proposition - The organizers aim to bridge the gap between academic innovation and entrepreneurial initiatives, facilitating efficient resource matching and project implementation [10] - Support will be provided for high-quality participants to foster industry incubation and collaboration in the field of embodied intelligence and robotics [10]

Core Insights - Alibaba's Tongyi Qianwen model is expanding from virtual interactions to physical applications, marking a significant move into embodied intelligence, positioning Alibaba alongside OpenAI and Google in this field [1][13]. Group 1: Model Development and Capabilities - Lin Junyang, head of the Tongyi Qianwen model, has formed a research team focused on robotics and embodied intelligence, indicating a strategic shift towards real-world applications [1][2]. - The Tongyi Qianwen model has achieved full-modal coverage, with its flagship model Qwen3-Max ranking among the top three globally in coding and deep reasoning capabilities, surpassing competitors like GPT-5 [6][12]. - The newly launched Qwen3-VL model enhances capabilities in recognizing small objects and 3D spatial modeling, directly supporting tasks such as dynamic path planning for robots [8]. Group 2: Market Position and Growth - According to a report by Sullivan, Tongyi Qianwen holds a 17.7% market share in China's enterprise-level model invocation market, leading over competitors ByteDance and DeepSeek [11]. - Tongyi Qianwen has open-sourced over 300 full-size models, with a total download exceeding 600 million, facilitating extensive scenario validation for technology implementation [12]. Group 3: Strategic Direction and Investment - The focus on AI physical intelligence is seen as a crucial strategic shift for large model enterprises, with predictions of over $4 trillion in global investments in this area over the next five years [13][14]. - Alibaba has accelerated its investments in embodied intelligence, including a $140 million lead investment in a robotics company, indicating a commitment to deep collaboration in cloud computing and AI platforms [14]. Group 4: Competitive Landscape and Challenges - The competition in the embodied intelligence sector is intensifying, with predictions of global shipments of embodied robots reaching tens of thousands by 2025 and a market size exceeding 232.6 billion yuan by 2030 [19]. - Challenges remain for Alibaba in translating its virtual technology advantages into physical engineering capabilities, particularly regarding domestic component production and cost control [19][20]. Group 5: Future Outlook - The performance of AI foundational models is converging, making the ability to implement in the physical world a new competitive differentiator [20]. - Alibaba aims to establish industry standards in core scenarios such as industrial manufacturing and logistics by leveraging its Tongyi Qianwen model as a brain operating system for robots [20][21].

Core Viewpoint - The strategic partnership between Wuhan Haocun Technology Co., Ltd. and Lingxin Qiaoshou (Beijing) Technology Co., Ltd. aims to integrate Haocun's "Motor Neuron Central System" with Lingxin's advanced dexterous hand technology to overcome technical bottlenecks in humanoid robots' fine operations and intelligent interactions, promoting the large-scale application of embodied intelligence in various sectors such as industry, healthcare, and services [1][6][11]. Technical Integration - The collaboration focuses on deep cooperation in humanoid robot motion control and fine operations, creating a complete technical loop from action decision-making to end execution [1][6]. - Haocun's "Motor Neuron Central System" achieves a precision of 0.001 degrees and a data transmission delay of 3 milliseconds, addressing core challenges in humanoid robot motion control [3]. - Lingxin's Linker Hand series dexterous hands have a freedom degree of 25-30 for the industrial version and up to 42 for the research version, surpassing competitors like the UK's Shadow Hand and Tesla's Optimus Prime [3]. Industry Empowerment - The partnership aims to accelerate the commercialization of humanoid robot technology across diverse scenarios, particularly in industrial manufacturing, healthcare, and domestic services [6]. - Haocun's motion control system combined with Lingxin's dexterous hands will significantly enhance robots' flexibility and precision on assembly lines, with existing collaborations with major industrial players like Foxconn and BYD [6]. - The integration of technologies from both companies represents a crucial pathway for humanoid robots to achieve fine operations, with potential applications in rehabilitation training and high-sensitivity commercial tasks [6][11]. Synergistic Effects - The complementary technologies of both companies create significant synergies, forming a more complete "perception-decision-execution" loop [8]. - Haocun's system acts as the "brain" of the robot, while Lingxin's dexterous hands serve as the "hands," enhancing the robot's capabilities for fine manipulation [8]. - The collaboration aligns with Haocun's strategy to seek partnerships across the industry chain to meet the growing market demand for robotic training [8]. Summary - The partnership between Haocun Technology and Lingxin Qiaoshou reflects a trend in the Chinese robotics industry towards ecological collaboration, aiming to accelerate core technological breakthroughs and industrial applications [11].

1、 智元机器人与龙旗科技达成数亿框架订单合作 10月9日，智元机器人与ODM企业龙旗科技就工业场景具身智能机器人应用达成深度战略合作。龙旗科技 向智元机器人下达数亿元金额的智元精灵G2机器人框架订单，此次合作将部署近千台机器人。前期，智元 精灵G2将重点应用于平板产线，实现消费电子组装制造场景批量落地，发挥AI交互和协同功能。未来， 双方合作将拓展至更多产线与品类，并在零部件供应、制造代工等方面展开更大范围合作。 2、 原力无限签订2.6亿元具身智能单笔订单 10月9日，据原力无限机器人公众号消息，原力无限智能科技（杭州）有限公司与时华文旅控股集团在杭 州正式签署战略合作协议，项目金额高达2.6亿元人民币，这是迄今为止全球具身智能单笔金额最大的商 业订单。双方将围绕"机器人+文旅"战略赛道展开全方位合作，共同打造全国首批具身智能智慧景区样板 工程，并将在智能导览、互动体验、运营服务、数字管理等多个环节实现系统化创新。 3、 深创投人工智能和具身机器人产业基金成立 出资额15.5亿 | | | 都在用的商业查询工具 | 查公司 查考板 查关系 查风险 | | | | | | | --- | --- | --- ...

Core Viewpoint - SoftBank announced the acquisition of ABB's robotics business for $5.4 billion, disrupting ABB's plans for an IPO of the robotics unit and highlighting SoftBank's aggressive investment strategy [1][9]. Group 1: Acquisition Details - The acquisition is expected to be completed in mid-2026, marking a significant shift in the global robotics market and providing opportunities for Chinese high-end robotics manufacturers [1]. - ABB's robotics business generated $2.3 billion in revenue in 2024, accounting for approximately 7% of ABB's total sales, making the acquisition price relatively high [6][16]. Group 2: Challenges and Risks - SoftBank faces challenges in integrating technology and teams post-acquisition, especially given ABB's recent struggles with profitability and declining sales [3][4]. - There is a risk of talent attrition, with studies indicating that 75% of key employees may leave within three years of a major acquisition [4]. - The competitive landscape in the robotics market is intensifying, particularly from Chinese companies, which are rapidly gaining market share [6][7]. Group 3: Strategic Importance - SoftBank views robotics as a critical area for future growth, aiming to integrate ABB's robotics capabilities with its AI investments to create a comprehensive "Physical AI" ecosystem [9][11]. - The acquisition is part of SoftBank's broader strategy to build a complete AI ecosystem, linking robotics with data centers, energy, and chip manufacturing [14][15]. Group 4: Market Dynamics - The global robotics market is projected to grow from approximately $78 billion to $165 billion by the end of 2029, indicating significant potential for investment returns [16]. - The competitive dynamics are shifting, with traditional leaders like ABB losing market share to emerging players, necessitating a reevaluation of strategies across the industry [7][15].

在具身智能驱动的机器人操控领域，基于模仿学习的视觉 —运动策略（ Visuomotor Policies ）已成为实现 机器人自主操作的重要技术路径。这类策略通常依赖于视觉观测与本体感知状态（ Proprioceptive States ）的融合范式，通过融合来自摄像头等传感器的外部环境信息和机器人自身的关节角度、末端位置等内部状 态，实现对动作输出的精确控制。该范式虽已在多个任务中取得显著成效，并被广泛应用于各类机器人学习系 统中，却隐含着一个关键缺陷：策略模型对本体感知状态输入的过度依赖，容易导致其在训练轨迹上产生过拟 合，进而削弱其在未见空间配置下的泛化能力。 具体而言，当策略过度依赖如机器人基座坐标、关节角度等内部状态时，其决策过程会逐渐 "固化"于特定的 空间位置与运动轨迹。一旦测试环境中物体的位置、桌面的高度或机器人的起始位姿发生改变——即便视觉场 景在语义上高度相似——策略的表现也可能急剧下降。这种对空间变化的敏感性，严重制约了机器人在动态、 非结构化现实环境中的适用性，也使得每一项新任务的部署都需耗费大量数据与调试成本。 针对上述痛点，千寻智能的研究 团队 在论文 " Do You Need ...

根据机器人大讲堂 &立德智库不完全统计，2025年9月，中国机器人行业融资活动呈现显著回暖态势，共发 生融资事件56起，较8月的39起环比增长超40%，市场活跃度明显提升。融资总额预估达到54亿-78亿元， 较8月28亿-47亿元的区间实现大幅跃升，反映出资本对机器人赛道，尤其是头部项目和前沿技术领域的出手 力度与信心显著增强。 从融资规模来看，大额融资事件表现尤为抢眼。 本月亿元级融资高达 13起，不仅在数量上近乎8月（7起） 的两倍，其战略意义更为深远。其中， 通用具身智能模型研发领域出现单笔高达 10亿元的A+轮融资 ，显示 出市场对这一前沿制高点的强烈追捧； 服务机器人 领域亦有龙头企业完成约 10亿元融资 ，凸显了其在商用 清洁等成熟场景中实现规模化落地的巨大潜力与商业价值。这些大额融资清晰地表明，资本正以前所未有的力 度，向那些具备定义下一代机器人平台潜力的关键技术节点集中。 融资轮次分布延续了早期为主的格局，但中后期融资活力增强 。 种子 /天使轮与A轮系列融资合计占 比达到 86 %，是创新活力的主要来源。与此同时，B轮及以后的中后期融资事件数量有所增加，如昂泰微精等企业 获得持续资本加持，反 ...

Core Insights - The article discusses the development of micro-robots with insect-level autonomy and flexibility, aimed at performing tasks in complex environments such as disaster recovery and industrial inspections [1] - A research team from Huazhong University of Science and Technology has created a flexible electronic robot (FEbot) that integrates structural adaptability and embedded computing capabilities [1][3] FEBots Design and Modular Architecture - The FEbot utilizes a modular architecture combined with an oscillatory driving mechanism, differing from traditional robots that rely on precise leg trajectory control [3] - The FEbot consists of two main components: a programmable flexible electronic module and a distributed setae array made from superelastic alloys [5] Oscillatory Drive and Asymmetric Friction - The movement of the FEbot is driven by an oscillatory mechanism that relies on asymmetric friction, allowing for net forward displacement during each cycle [7] - The study identified three key states in the movement cycle, with the optimal configuration achieving a peak speed of 109.5 mm/s at a driving frequency of 450 Hz [9] Multi-Modal Movement and Environmental Sensing - FEbots exhibit remarkable multi-modal movement capabilities, allowing for quick reconfiguration based on task requirements [10] - The I-type design, inspired by centipedes, can navigate tight spaces and carry loads up to 5.1 times its weight, while the II-type design showcases omnidirectional movement [11][12] Embedded Artificial Intelligence - The research team incorporated an embodied intelligence framework into the FEbot, enabling real-time intelligent decision-making through hyperdimensional computing [15] - The FEbot demonstrated autonomous behaviors such as danger avoidance and thermal gradient tracking, showcasing its ability to process multiple sensor inputs simultaneously [18]

大家还记得去年 靠 自制兽装控制器 火遍 全网 的重庆交大学生黄彦钧吗？ 没错，就是那个实现了 生物仿生学眨眼 、配备 夜视仪 和 图像识别算法 ，还在头套里装了 换气系统 的 " 硬核玩 家 "， 冲上了热搜。 这回，他又整活了。 最新作品是 一套 真· " 钢铁侠 " 战甲！ 央视亲自转发，外网直接炸锅了。 这套战甲 全身能自动开合，迅速变形贴合身体， 例 如 肩周全自由度， 手臂 可自动闭合。 有趣的是， 机甲还接入了AI语音对话， 和贾维斯助理对话起来真的超酷好么！ 还配有 机甲 信息终端，看信息就和看手表一样简单。 最让网友惊讶的是，IMU体感触发系统可以根据特定动作实现 手 臂 电磁冷发射架的启动， 能发射"导弹"，根据展示需要，加装烟雾、激光束等武器道具！ 更厉害的是， 战甲 中的 助力外骨骼还可以提供额外动力，增强人体极限！ 网友直呼：" 现实版钢铁侠照进现实 。 " " 这不 军迷 减速带吗！ " 这位 00 后此前还研发过 外骨骼辅助行走机器人 并获得专利，参与过 清华大学脑机接口领域实验室 项目 ，甚至以 " 战术装备研发人员 " 的头衔登上央视军事 频道。 从 " 拆家电少年 " 到 ...

Core Viewpoint - The article discusses the development of Kinethread, a full-body haptic exoskeleton system designed to enhance immersive experiences in virtual and augmented reality by providing realistic tactile feedback, overcoming the limitations of current consumer-grade and professional devices [1]. System Design: Rope-Driven Mechanism and Modular Structure - Kinethread utilizes a computer-controlled electric reel and rope transmission mechanism, combined with a modular tactical vest for load distribution, enhancing comfort during prolonged wear [2]. - The system integrates 10 electric reels, with 8 positioned around the waist to optimize ergonomic design and effectively hide reverse tension during operation, allowing clearer perception of force feedback [2]. Motor Selection and Weight Considerations - The system employs two types of high-torque brushless DC motors, with the larger motor weighing 265 grams and providing a maximum pull of 42N, while the smaller motor weighs 140 grams with a maximum pull of 17N [4]. - The total weight of the system, including the battery, is kept below 5 kilograms, with a wear time of under 30 seconds, balancing performance and practicality [4]. Pulley Mechanism and Force Output - The design incorporates traditional mechanical structures like pulleys to change force direction and provide mechanical advantage, achieving a maximum output force of 120N through a three-pulley structure on the back [6]. - The system's design allows for dual-direction drive from a single motor, reducing complexity and overall weight [6]. Control and Software Capabilities - Each motor connects to a custom driver, with multiple microcontrollers communicating with the host via USB, utilizing the open-source SimpleFOC library for closed-loop control at approximately 2kHz [11]. - The software, developed on Unity, supports various haptic feedback modes, allowing for simultaneous simulation of vibrations and dynamic forces, enhancing the immersive experience [11]. Performance Metrics - Kinethread demonstrates potential for consumer applications with performance tests showing peak force achieved within 50 milliseconds and a vibration feedback bandwidth of 200Hz, capable of producing over 3N of force at 100Hz [12]. - The system's standby power consumption is 1.5W, with typical scene power consumption averaging 10.9W, allowing for over 6 hours of wireless operation with a 12V 5600mAh lithium battery [12]. Application Scenarios - Kinethread can simulate various tactile effects, including static weight, dynamic forces, impact forces, and social interactions, enhancing user experience in virtual environments [13]. User Experience Evaluation - A user study with 12 participants indicated that the combination of vibration and dynamic feedback significantly outperformed other conditions in terms of realism, immersion, and instinctive reactions, highlighting the importance of dynamic feedback [15]. Future Prospects - Future developments aim to address limitations such as the inability to simulate pushing forces and potential risks associated with cable routing, while exploring additional types of force feedback and optimizing motor configurations for improved realism [16].