Core Points - Ekso Bionics Holdings, Inc. has updated the effective date of its reverse stock split from May 27, 2025, to June 2, 2025, at a ratio of 1-for-15 [1] - The number of outstanding shares will decrease from approximately 35.5 million to about 2.4 million post-split [2] - The reverse stock split was approved by stockholders to raise the per share trading price and regain compliance with Nasdaq's minimum bid price requirement of $1.00 for ten consecutive trading days [3] Summary by Sections Reverse Stock Split Details - The reverse stock split will not result in fractional shares; any fractional shares will be rounded up to the next whole share [4] - All issued and outstanding shares will be affected, reducing the number of shares issuable upon the exercise of stock options and increasing respective exercise prices [5] Stockholder Information - Stockholders holding shares electronically will not need to take action as their shares will be automatically adjusted [6] - Shareholders with physical certificates can contact VStock Transfer, LLC for information on exchanging their certificates [6] Company Overview - Ekso Bionics is a leading developer of exoskeleton solutions aimed at enhancing human strength, endurance, and mobility in medical and industrial applications [7]

Core Viewpoint - Humanoid robotic arms are becoming a crucial focus for companies in the technology landscape, with many enterprises developing products around this technology, including standalone robotic arms and humanoid robots [2]. Company Summaries - **Yuejiang Robotics**: Established in 2015, Yuejiang has launched over 20 collaborative robot products and the world's first humanoid robot Atom, widely applied across more than 15 industries and recognized by over 80 Fortune 500 companies [3]. - **Ruiliman Intelligent**: A national high-tech enterprise focusing on ultra-lightweight humanoid robotic arms, with a team experienced in foundational robotics technology for over 10 years, serving various sectors [4]. - **Elephant Robotics**: Founded in 2016, this company specializes in robot development and has released several humanoid robot products, including the Mercury series [5]. - **Titan Robot**: Established in 2020, Titan focuses on high-end robotic hardware and solutions, offering humanoid robots "Yaoguang" and "Mozhi" [6][7]. - **Tianlian Robotics**: Founded in 2012, Tianlian has over 50 patents in robotics, including more than 20 related to humanoid robots, and has developed a collaborative robotic arm with a weight capacity greater than 2:1 [8]. - **Crab Intelligent**: Founded in 2019, this company specializes in harmonic reducers and joint modules, developing a humanoid robotic arm capable of lifting 50 kg for hazardous environments [9]. - **Zhongke Xinsong**: A subsidiary of Xinsong, focusing on intelligent robots, with plans for humanoid robot development [10]. - **Huayan Robotics**: Originating from Dazhu Laser, this company has a global presence and is developing humanoid robot joint modules [11]. - **Feixi Technology**: Established in 2016, this company focuses on adaptive robots integrating industrial control, computer vision, and AI [12]. - **Tianji Robotics**: A subsidiary of Changying Precision, it has released a dual-arm robot suitable for industrial and commercial applications [13][14]. - **Aobo Intelligent**: Specializes in high-precision collaborative robots, with products that mimic human actions in various applications [15]. - **Jeka Robotics**: The first domestic company to develop humanoid dual-arm robots, enhancing flexibility and agility [16]. - **Ligong Industry**: A leader in collaborative and composite robots, having launched dual-arm humanoid robots with high payload capacities [17]. - **Luoshi Robotics**: Focuses on multi-joint industrial and collaborative robots, advancing technology in humanoid robotics [18]. - **Aston Coolzhu**: Founded in 2022, this company aims to revolutionize human-robot interaction and has launched its first humanoid robot [19]. Industry Trends - The humanoid robot industry is accelerating towards scale and intelligence, with production costs decreasing at an annual rate of 18%, and the global market expected to exceed 120 billion yuan by 2025 [21]. - The development of new materials in the chemical industry is crucial for the robotics sector, enhancing lightweight, durability, and flexibility in robotic structures [21]. - The first "Embodied Robot Innovation Manufacturing Forum" will be held in Hefei, focusing on the application of polymer and composite materials in humanoid robots [22][24].

Summary of Conference Call Records Industry Overview - The records focus on the robotics industry, particularly the challenges and methodologies related to robot training and simulation data generation. Key Points and Arguments Simulation in Robotics - VLA (Visual Language Action) simulation is widely used in robot perception deep learning but struggles with real-world transferability due to challenges in image realism and physical parameter simulation, making it more suitable for algorithm prototype validation [1][3][5] - Common data generation methods in robot training include sensor simulation, physical interaction, and scene reconstruction, but high-fidelity image generation and accurate physical parameter simulation remain significant challenges [1][5] - The effectiveness of simulation data in robot task training depends on the task type and the differences between simulated and real-world data distributions [3][6] Data Challenges - Data, rather than models, is currently the main challenge in robotics, with hardware inconsistencies and insufficient quantities leading to low-quality data [1][20] - The lack of standardized hardware dimensions and rotation ratios limits data utilization efficiency across different robotic systems [23] Training Methodologies - The current mainstream data collection and training methods rely heavily on real production data, especially in the autonomous driving sector, while the robotics field primarily depends on simulators due to a lack of large-scale production [17] - Video-based training for robots and autonomous systems faces significant challenges due to the modal differences between 2D video data and the required 3D data for task execution [7][9][10] Simulation Tools and Platforms - Third-party simulation tools like Avia's ISAC platform are comprehensive but cumbersome, while emerging lightweight simulators like Tsinghua's Discover and Shanghai Jiao Tong University's RoboTone are more advantageous for large-scale data generation [12] - The development of simulators may impact the market competitiveness of chip companies, as advanced simulation tools can drive demand for specific hardware [13] Performance and Accuracy - Robots currently achieve around 90% accuracy in industrial settings, indicating room for improvement through better algorithms, more effective training data, and hardware standardization [25][26] - Human-like robots are more valuable for their versatility in industrial applications rather than for precision tasks, as they cannot compete with advanced industrial automation technologies [27] Future Directions - To enhance the effectiveness of data collection, a decoupling approach is recommended, ensuring consistent sensor use while standardizing hardware to improve data reusability [28] - The potential for robots to learn complex tasks through video observation is limited, but foundational capabilities can be developed through supervised training [16] Cross-Domain Data Utilization - Cross-domain data usage presents challenges due to differences in hardware configurations, which can affect the applicability of collected data [21][22] Conclusion - The robotics industry faces significant hurdles in data generation, simulation accuracy, and real-world application transferability, necessitating advancements in hardware standardization, data collection methodologies, and simulation technologies to improve overall performance and utility in practical applications [1][20][23][25]

Core Viewpoint - The article highlights the launch of the X-Humanoid training toolchain by Beijing Humanoid Robotics Innovation Center, aimed at enhancing the efficiency of using the RoboMIND dataset and the "Tiangong" humanoid robots for developers in the field of embodied intelligence [1][2][6]. Group 1: RoboMIND Dataset and "Tiangong" Robots - The RoboMIND dataset features over 100,000 trajectories and 479 cross-scenario tasks, making it one of the most downloaded datasets on platforms like HuggingFace [1]. - The "Tiangong" humanoid robots serve as an optimal hardware platform for developers to validate embodied intelligence algorithms through open-source URDF models and ROS control stacks [1]. - The need for a seamless conversion between RoboMIND data formats and mainstream training frameworks has been identified, leading to the development of the X-Humanoid training toolchain [1][2]. Group 2: X-Humanoid Training Toolchain - The X-Humanoid training toolchain is designed to facilitate efficient data usage and robot development, addressing the high adaptation costs due to diverse data sources and formats [2]. - It integrates different frameworks and hardware resources, providing a unified development interface that simplifies the development process [2]. - The toolchain allows users to convert datasets into the LeRobot format and provides a comprehensive guide for developers to efficiently manage the data preprocessing and model training processes [6][9]. Group 3: Future Developments and Community Engagement - The X-Humanoid training toolchain will continue to evolve, supporting more advanced algorithms and enhancing the operational capabilities of the "Tiangong" robots in diverse scenarios [6]. - The company emphasizes its commitment to open-source culture and ecosystem development, aiming to lower development barriers and stimulate innovation in the field of embodied intelligence robotics [7]. - Developers are encouraged to join the community to discuss and promote innovations in embodied intelligence robotics technology [7][8].

21世纪经济报道记者柳宁馨 宁波报道 此外，"数智中东欧"是本届博览会重点打造的全新区块，展区面积达1400平方米，37家企业参展，集中呈现我国、中东欧国家在人工智能、机器人技术、通 航科技等领域的近百项前沿技术和产品。 中东欧国家在本届博览会上带来的创新技术主要在航空和生物健康领域，包括来自奥地利的钻石飞机、塞尔维亚的海上安全传感器、斯洛伐克的医疗设备 等。 5月22日，第四届中国—中东欧国家博览会暨国际消费品博览会将在宁波开幕。本届博览会将有1.5万多名专业观众参加，其中来自72个国家和地区的境外采 购商超3000人，预计达成从中东欧进口采购意向超100亿元。 据杭州海关统计，今年前4月，浙江对中东欧有进出口实绩的外贸企业超2万家；进出口总值626.0亿元，同比增长11.6%，其中，出口568.5亿元，同比增长 14.8%。前4月，浙江省对中东欧进出口总值、出口总值份额均居全国第2位。 在5月21日的第四届中国—中东欧国家博览会暨国际消费品博览会新闻发布会上，浙江省政府副秘书长任贤锋介绍道，本届博览会贸易展览面积达8万平方 米，分为中东欧展区和出口消费品展区。 中东欧展区安排在宁波东钱湖畔的国际会议中心， ...

Core Insights - The competition in the small-sized humanoid robot market is intensifying, with companies like Zhiyuan Robotics launching new models and seeking partners for commercialization [1][4] - Small-sized humanoid robots, typically around 1.3 meters tall, are gaining traction due to their application in educational, entertainment, and exhibition scenarios, where they offer cost advantages over larger models [1][5] - The market for humanoid robots in entertainment and exhibitions may face challenges due to potential declines in public interest, leading to questions about the sustainability of demand [2] Market Dynamics - Zhiyuan Robotics announced the launch of the Lingxi X2 humanoid robot, priced between 100,000 to 400,000 yuan, with plans for mass production and a target of several thousand units by the end of 2026 [1][4] - The Lingxi X2 features a weight of 35 kg, a maximum payload of 3 kg, and a battery life of approximately 2 hours, with capabilities for various interactive and performance tasks [4] - The company is adopting a B to B to C model to meet specific market needs through partnerships, addressing customization requirements for different scenarios [4][5] Competitive Landscape - The small-sized humanoid robot market is characterized by significant sales, with models like the N2 robot from Songyan Power achieving over 1,000 units sold, indicating strong demand in the education and exhibition sectors [1][5] - Companies are focusing on enhancing interactive capabilities, as many existing models lack advanced interaction features, which are crucial for engaging users in entertainment contexts [5] Future Developments - Zhiyuan Robotics is exploring the elder care market, collaborating with other companies to develop humanoid robots for senior living communities [6] - The company has established a strong leadership team with extensive experience in the smart hardware sector, positioning itself for future growth in the humanoid robot industry [8]

Core Viewpoint - The exoskeleton robot industry is at a critical commercialization point, requiring breakthroughs in human-machine collaboration, lightweight materials, endurance, and cost control to achieve widespread consumer application [1][4][5]. Group 1: Industry Overview - Exoskeleton robots are wearable devices that enhance mobility for both individuals with disabilities and healthy users, with applications expanding from industrial and medical fields to consumer markets [2][3]. - The exoskeleton robot market is projected to experience rapid growth, with an estimated annual compound growth rate of 47.7% from 2025 to 2028, reaching a global market size of $5.8 billion by 2028 [3]. - In China, the exoskeleton robot market is expected to reach 4.2 billion yuan by 2025, with an annual compound growth rate of approximately 50% from 2023 to 2028 [3]. Group 2: Technological Challenges - Key challenges include the need for high-performance, low-power chips to enhance the robots' capabilities, as well as the development of lightweight and flexible materials to improve market acceptance [4][5]. - Battery technology is critical, with current endurance typically lasting only a few hours; advancements are needed to achieve a desired endurance of one to several days while reducing battery weight [5]. Group 3: Market Dynamics - The commercialization of exoskeleton robots is currently supported by innovative business models, such as rental services in tourist areas, which can help drive industry growth [5]. - Policy support is significant, with various government initiatives aimed at promoting the application of exoskeleton robots in sectors like elderly care and rehabilitation [6]. Group 4: Investment and Collaboration - Investment activity in the exoskeleton robot sector is increasing, with companies like Shanghai Aoshark Intelligent Technology and Youlong Robotics securing substantial funding to enhance R&D and expand production [7]. - Collaborative efforts among companies, academic institutions, and research organizations are fostering innovation in the development of exoskeleton technologies [7]. Group 5: Future Outlook - The exoskeleton robot is anticipated to become a core technology that benefits humanity, moving beyond a futuristic concept to practical applications in daily life [8].

Group 1 - The core viewpoint of the article highlights the recent funding rounds completed by the Chinese AI startup, Mianbi Intelligent, which focuses on edge large model development, indicating strong investor confidence and growth potential in the AI sector [1][2] - Mianbi Intelligent has successfully completed three rounds of financing since 2024, with significant investments from various funds, which will help establish a robust technological and product barrier for their efficient large model technology [1] - The company aims to accelerate industry empowerment and ecological expansion, promoting the large model's application across various sectors [1] Group 2 - In early 2025, the global AI competition has intensified, with Mianbi Intelligent leading the way in developing high-efficiency large models that offer better performance, lower costs, and reduced power consumption [2] - The launch of Mianbi's first edge full-modal model, MiniCPM-o 2.6, showcases its innovative capabilities, including real-time audio-visual processing and natural language generation, positioning it at the forefront of the industry [2] - The MiniCPM series has achieved over 10 million downloads across all platforms, reflecting its popularity and effectiveness in the market [2]

Core Viewpoint - The article discusses advancements in bionic robotics and intelligent control, emphasizing the need for innovation in robot design to achieve better energy efficiency and functionality, particularly in humanoid robots [2][20]. Group 1: Bionic Robotics and Intelligent Control - The "2025 Bionic Robot and Intelligent Control Forum" held in Hangzhou attracted nearly 400 participants and over 10,000 online viewers, highlighting the growing interest in bionic robotics [2]. - The forum featured a keynote report by Professor Qian Zhihui from Jilin University, focusing on the principles and technologies behind bionic tensile and compressive robots [2]. Group 2: Current Challenges in Humanoid Robotics - Humanoid robots are currently in a "showcase-first" stage, with significant gaps in practical application, including issues with safety, arm manipulation, and high energy consumption [4]. - The Cost of Transport (COT) metric indicates that humanoid robots have much higher energy consumption compared to humans, with values such as 5 for Boston Dynamics' Atlas and 1.6 for Honda's Asimo, while humans have a COT of only 0.05 [5]. Group 3: Analysis of Robotic Limitations - Three main issues are identified in humanoid robots: 1. Material composition leads to poor safety in human-robot physical contact due to rigid components [6]. 2. Joint structures are simplified and require complex control, increasing energy consumption [6]. 3. Power systems are inefficient due to multiple energy conversions, unlike the integrated system found in human muscles [6]. Group 4: Innovations in Bionic Robotics - The concept of "Layagrity" is introduced, which combines tensile and compressive elements to create a new design for advanced humanoid robots [7]. - The first generation of bionic tensile robots has been developed, achieving walking speeds of 2.0-4.5 km/h with a COT of 0.069-0.107, significantly lower than traditional humanoid robots [11]. Group 5: Advances in Dexterous Manipulation - The development of bionic hands faces challenges due to the trade-off between rigid and soft hands, necessitating innovative solutions [14]. - A new three-dimensional dynamic X-ray imaging system has enabled the study of human hand biomechanics, leading to improved designs for bionic hands that replicate human dexterity [14]. Group 6: Future Directions in Robotics - The research team aims to create a modular bionic system that incorporates human-like movement characteristics, focusing on dynamic stability and high precision in robotic arms and hands [20]. - The ultimate goal is to overcome existing limitations in humanoid robotics by integrating biological design principles to enhance movement intelligence and adaptability [20].

机器人剧场位于龙岗区坂田街道，根据计划，龙岗区将围绕未来城市形态与生活方式，试点打造的机器 人剧场集产业、科研、艺术、展演、商业、科普于一体，并注重公共互动体验。龙岗区人工智能（机器 人）署相关负责人表示，剧场目标打造科技与人文艺术交融的标杆场景，将在全国征集剧目IP方案，突 出以机器人表演为核心，融合舞蹈、音乐、戏剧等艺术形式，展示具身智能在创意表达与文化传承中的 突破性应用。 根据《三年行动方案》，龙岗还将打造全国首个机器人4S店，提供机器人"销售—维护—升级"一体化服 务，建立标准化运维体系，探索机器人商业化落地新模式。打造全国首个机器人零部件超市，集成高精 度减速器、伺服电机等核心零部件供应链资源，推动国产替代与产业链协同创新，形成"研发—中试— 量产"快速转化通道。 南都讯 记者颜鹏 深圳龙岗将打造具身智能机器人示范街区！这里不仅有专门的机器人剧场，有机器人 提供餐饮、导购，还将开设全国首个机器人4S店。在5月21日举办的龙岗区人工智能与机器人发展大会 上，龙岗区重磅发布《龙岗区加快创建"AI龙岗"三年行动计划（2025-2027年）》《龙岗区具身智能机 器人友好示范城区三年行动方案（2025-20 ...