Core Viewpoint - The article discusses the distinctions and relationships between artificial intelligence (AI), embodied intelligence, and humanoid robots, highlighting the potential of humanoid robots in various industries and their role in enhancing human-robot interaction [5][21]. Group 1: Definitions - Artificial Intelligence (AI) refers to machines or programs created by humans to simulate human thinking and solve problems [8]. - Embodied Intelligence is defined as intelligent agents with a physical body that can perceive, make decisions, and interact with the real world while learning and evolving [8]. - Humanoid Robots are machines that mimic human appearance and behavior, possessing a similar body structure and capabilities for self-perception, learning, and decision-making [12]. Group 2: Relationships - AI is a broad category that encompasses both embodied intelligence and disembodied intelligence, with embodied intelligence requiring a physical entity to interact with the physical world [16][19]. - Disembodied intelligence can process information but cannot physically interact with the environment, while embodied intelligence can perform tasks autonomously in the real world [19]. Group 3: Humanoid Robots as Ideal Carriers - Humanoid robots are seen as the most ideal carriers of embodied intelligence due to their ability to integrate advanced technologies from various fields, including mechanical and electrical engineering, and artificial intelligence [21]. - The development of humanoid robots is expected to drive innovation and upgrades across the manufacturing sector, fostering economic growth and creating significant market value [22]. Group 4: Applications and Benefits - Humanoid robots can operate in human-centric environments, showcasing flexibility and adaptability in tasks across various sectors, including healthcare, household services, and education [24]. - They can replace humans in dangerous or repetitive jobs, thereby enhancing productivity and freeing up human labor [24]. - The design of humanoid robots allows for better human-robot interaction, making them more acceptable to users and enabling them to perform tasks using familiar human tools [25].

Core Viewpoint - The article discusses the selection of 32 pilot projects for intelligent elderly care service robots, evaluated and announced by the Ministry of Industry and Information Technology and the Ministry of Civil Affairs in China [1][3]. Summary by Sections Announcement of Pilot Projects - A total of 32 intelligent elderly care service robot projects have been selected for pilot applications, focusing on key technological breakthroughs and practical scenarios [1][3]. - The announcement was made following a comprehensive evaluation by an expert group formed by the Ministry of Industry and Information Technology and the Ministry of Civil Affairs [3]. Public Notice - The public notice period for the selected projects is from August 11 to August 15, 2025, allowing for public feedback and scrutiny [4]. List of Selected Projects - The projects cover various aspects of elderly care, including emotional companionship, health monitoring, rehabilitation support, and intelligent home care solutions [6][7][8]. - Notable projects include: - Emotional companionship robots developed by Zhejiang University and other partners [6]. - Health monitoring robots by Beijing-based companies and research institutions [6]. - Rehabilitation robots aimed at supporting elderly individuals in recovery [6][7]. - The projects involve collaboration between universities, research institutes, and private companies across multiple provinces, including Zhejiang, Shanghai, Jiangsu, and Guangdong [6][7][8].

Core Viewpoint - The article emphasizes the importance of "human-centered" principles in intelligent manufacturing, highlighting the upcoming "Third Academic Conference on Human-Centered Manufacturing" scheduled for October 31 to November 2, 2025, in Beijing, aimed at promoting innovation and development in this field [2]. Conference Information and Organization - The conference will take place at the Beijing Friendship Hotel, organized by Beijing Institute of Technology and supported by various academic and industrial organizations [3][4]. - Registration fees are set at 2500 RMB per person for teachers or industry professionals and 1800 RMB for students if registered by October 10, 2025, with increased fees thereafter [5]. Subforum Introductions - **Human-Centered Design Subforum**: Focuses on customization and uncertainty in design, exploring new ideas and technologies in product design [10]. - **Human-Centered Production Subforum**: Discusses key technologies in human-machine collaboration and shares application cases in production processes [10]. - **Human-Centered Service Subforum**: Examines the intersection of intelligent manufacturing and service design, promoting sustainable and resilient service industry ecosystems [10]. - **Human-Centered Construction Subforum**: Investigates the future of intelligent construction under the human-machine integration concept [10]. - **Special Forum I - Assembly-Driven Manufacturing**: Aims to explore the integration of assembly-driven production with high-end equipment intelligent manufacturing [11]. - **Special Forum II - Graduate Forum**: Provides a platform for graduate students to share research on intelligent systems and human-machine collaboration [12]. Call for Papers and Participation - The conference is inviting submissions for subforum reports, long abstracts, and posters, with deadlines set for September 20 and October 1, 2025, respectively [13][14]. - A white paper summarizing the development and future trends of human-centered manufacturing will also be compiled, inviting contributions from experts in the field [14].

Core Viewpoint - The article discusses the advancements and future potential of robotics and embodied intelligence, emphasizing the importance of collaboration between humans and machines to enhance various sectors, including healthcare and disaster response [1][10]. Group 1: Event Overview - The 2025 World Robot Conference will be held from August 8 to 12 in Beijing, featuring a main forum and 31 series of activities with 416 experts and representatives sharing insights on new technologies and applications [1]. Group 2: Embodied Intelligence - Embodied intelligence is defined as the ability of robots to not only perform tasks but also to perceive and understand their environment, marking a shift from traditional AI definitions [8]. - The development of embodied intelligence emphasizes the need for robots to adapt to complex environments and possess cognitive abilities [8][9]. Group 3: Technological Advancements - Significant progress has been made in nanorobotics over the past 40 to 50 years, with ongoing research aimed at making robots more intelligent and capable [4][5]. - The integration of bionic elements into robotic systems is highlighted, with a focus on developing distributed autonomous robotic systems that can operate within the human body [6][7]. Group 4: Human-Robot Collaboration - The article stresses the importance of human-robot collaboration, suggesting that robots should not only assist in repetitive tasks but also provide solutions in critical situations [9][10]. - A vision for 2050 is presented, where robots will possess the ability to autonomously identify and solve problems, significantly enhancing their role in society [10][11]. Group 5: Future Prospects - The potential for companion and caregiving robots is discussed, with the expectation that they will be able to support humans throughout their lives, including during emergencies [10][12]. - The concept of "soft robots" is introduced, which combines flexibility and adaptability with traditional robotic capabilities, aiming for a balanced design approach [11][12].

Core Viewpoint - The article emphasizes the transformative potential of embodied intelligence in various industries, marking a shift from experimentation to practical application, with China transitioning from a "follower" to a "leader" in hardware technology and an accelerated runner in software technology [2]. Event Overview - The 2025 Technology Innovators Conference, themed "Embodied Intelligence: A New Engine for Industrial Transformation," will take place on September 5 in Beijing, aiming to drive the transformation wave [2]. - The conference will focus on the industrialization of hard technology, featuring a service system characterized by "three databases and four chains" to facilitate industry connections and resource empowerment [2]. Conference Highlights - The event will gather over 500 scientists, entrepreneurs, industry experts, investors, and practitioners from the innovation ecosystem to explore solutions and future prospects for the embodied intelligence industry [4]. - Key activities include the establishment of the "Embodied Intelligence Industry Collaborative Innovation Center" and the release of the "2025 China Embodied Intelligence Industry Star Map" [8]. Agenda and Keynote Speakers - The agenda includes strategic cooperation signing ceremonies, keynote speeches from prominent figures in robotics and AI, and panel discussions on commercialization challenges and opportunities in embodied intelligence [6][11][15]. - Notable speakers include Paolo Dario, a leading figure in robotics, and various CEOs and experts from the robotics and AI sectors [7][14].

Core Viewpoint - The article discusses the allocation of the 2025 Central Guidance Fund for Local Science and Technology Development in Fujian Province, focusing on various research projects funded by this initiative [1]. Project Summaries - Project 1: "Trustworthy Intelligent Ultrasound Microvascular Imaging Method" led by Chen Yinran from Xiamen University, funded with 2 million yuan, duration 2025-2028 [2]. - Project 2: "Biological Data Intelligent Analysis and Processing" led by Lin Chen from Xiamen University, funded with 4 million yuan, duration 2025-2028 [2]. - Project 3: "Early Precise Diagnosis Research of Alzheimer's Disease Based on Spontaneous Speech Features and EEG Signals" led by Wu Meihong from Xiamen University, funded with 800,000 yuan, duration 2025-2028 [2]. - Project 4: "Key Technology Research on Multi-modal Instance Retrieval" led by Zhao Wanlei from Xiamen University, funded with 1 million yuan, duration 2025-2028 [2]. - Project 5: "Vulnerability Analysis Technology Research for Large-scale System Software" led by Wu Rongxin from Xiamen University, funded with 4 million yuan, duration 2025-2028 [2]. - Project 6: "Heterogeneous Hypergraph Representation Learning Method Research Based on Hypergraph Neural Networks" led by Jin Taisong from Xiamen University, funded with 1 million yuan, duration 2025-2028 [2]. - Project 7: "Optical Observation Research of Core-Collapse Supernovae" led by Lin Weili from Xiamen University, funded with 2 million yuan, duration 2025-2028 [2]. - Project 8: "Defect in Quantum Field Theory and Many-body Theory" led by Chen Jin from Xiamen University, funded with 800,000 yuan, duration 2025-2028 [2]. - Project 9: "Semiconductor Chiral Photonic Quantum Integrated Chip Supporting Full-Duplex Communication" led by Wu Yaxing from Xiamen University, funded with 8 million yuan, duration 2025-2028 [2]. - Project 10: "Research on Energy Transfer Mechanism of Rare Earth Doped Lead-Free Double Perovskite" led by Li Aihua from Xiamen University, funded with 100,000 yuan, duration 2025-2028 [2]. Funding Overview - The total funding allocated for various projects under the Central Guidance Fund for Local Science and Technology Development in Fujian Province is significant, with individual project funding ranging from 100,000 yuan to 8 million yuan [2].

Core Insights - The article discusses the challenges and advancements in robotic manipulation, particularly focusing on the potential of Reinforcement Learning (RL) to enhance robotic skills and performance in real-world applications [2][3][4]. Group 1: Challenges in Robotic Manipulation - Robotic manipulation remains a significant challenge, with traditional methods requiring extensive manual design and large-scale data collection, limiting their deployment in real-world scenarios [2]. - RL offers a promising alternative by enabling robots to autonomously acquire complex skills through interaction, but issues related to sample efficiency and safety hinder its full potential in real environments [3]. Group 2: HIL-SERL Framework - The UC Berkeley BAIR lab introduced a revolutionary RL framework called Human-in-the-Loop Sample-Efficient Robotic Reinforcement Learning (HIL-SERL), which integrates multiple components to effectively train vision-based RL strategies for general robotic manipulation [4]. - HIL-SERL achieves remarkable performance, reaching a 100% success rate across tasks with only 1-2.5 hours of training, significantly outperforming baseline methods that average below 50% success [4][12]. Group 3: Methodology and Results - To address optimization stability, a pre-trained visual backbone is utilized for policy learning, while a sample-efficient non-policy RL algorithm is employed to manage sample complexity, combining human demonstrations and corrections [5]. - The system's ability to learn from human corrections is crucial for improving performance, especially for challenging tasks that are difficult to learn from scratch [5][12]. - The tasks tackled include complex operations like assembling furniture and flipping objects in a pan, demonstrating the system's robustness even under external disturbances [7][11]. Group 4: Performance Metrics - The trained RL strategies show a 101% increase in average success rate and a 1.8 times reduction in cycle time compared to traditional imitation learning methods, indicating RL's superior capability in real-world training scenarios [12][21]. - The system's design allows for dual-arm coordination and the execution of intricate tasks, showcasing its flexibility across various operational contexts [21].

Group 1 - The core viewpoint of the article is the establishment of the "Embodied Intelligence Branch" under the China Electromechanical Integration Technology Application Association to promote the development of embodied intelligence in China, aligning with national strategic goals for future industries and technological advancements [1][4]. - The background for the establishment of the branch highlights the strategic value of embodied intelligence, which integrates artificial intelligence, robotics, and cognitive science, and has seen significant investment growth, with domestic financing exceeding 23 billion yuan in the first half of 2025 [1][2]. - The relationship between electromechanical integration and embodied intelligence is described as interdependent, where electromechanical integration serves as the physical foundation for embodied intelligence, enabling advanced human-machine collaboration [2]. Group 2 - The branch aims to serve as a national industry organization that bridges government and industry, focusing on promoting technological research, standardizing industry development, and fostering an ecosystem for embodied intelligence [4][6]. - Membership recruitment targets key industry enterprises across the supply chain, including upstream component and software companies, midstream integrators, and downstream end-user enterprises in various sectors such as industrial manufacturing and logistics [7][8]. - The application conditions for membership include having independent legal status, compliance with national laws, and a commitment to the association's principles and obligations [11][12][13]. Group 3 - The work process for establishing the branch includes submitting necessary materials, undergoing qualification review, and convening a founding conference to elect the first council and establish working groups [14][15][16].

Core Viewpoint - The article highlights the significant milestone achieved by Tiantai Robotics with the signing of a global order for 10,000 humanoid robots, marking the beginning of large-scale commercial use of humanoid robots in various industries [4][5]. Group 1: Company Overview - Tiantai Robotics, established in 2014, focuses on core motion units for robots and has developed a range of integrated, high-performance, and cost-effective robotic products [2]. - The company has participated in setting multiple national industry standards and maintains deep collaborations with leading enterprises in the robotics field [2]. Group 2: Milestone Order - The order for 10,000 humanoid robots is the largest single order in the history of the humanoid robotics industry, signaling the transition from concept to practical application [4]. - This order is seen as a testament to Tiantai's technological maturity, supply chain management, production capacity, and ecosystem development capabilities [5]. Group 3: Technological and Supply Chain Achievements - The success behind the 10,000-unit order is attributed to Tiantai's self-developed efficient joint modules, precise motion control algorithms, and reliable integrated solutions [5]. - The company has established a comprehensive supply chain from core components to complete machine assembly, ensuring consistent performance and cost control [5]. Group 4: Ecosystem and Application - Tiantai Robotics collaborates with top partners in networking and computing to create an integrated foundation for real-time collaborative work among a large number of robots [6]. - The initial focus of this batch of robots will be on family care, transforming them into companions with emotional and functional capabilities [6][7]. Group 5: Industry Impact and Future Plans - The order signifies the arrival of the "scale commercial" era for humanoid robots, indicating that the conditions for large-scale commercial deployment have been met [8]. - Tiantai aims to set new industry standards for mass production, reliability, and cost control through tangible orders [9]. - The company emphasizes the importance of addressing urgent societal needs, such as aging populations, as a pathway for realizing the value of robotic technology [9]. - Tiantai has initiated a "Navigator Plan" to ramp up production capacity and ecosystem development, inviting global partners to join in expanding this market [10]. Group 6: Upcoming Innovations - Tiantai Robotics is set to unveil a new generation of joint modules on August 26, 2025, which will redefine industry standards with their lightweight, thin design, and enhanced power [11]. - The pricing of these new modules is expected to enter the three-digit range, significantly lowering industry cost barriers and facilitating broader access to humanoid robots [11].

Core Points - The Chinese Academy of Sciences (CAS) and the Chinese Academy of Engineering (CAE) announced the list of valid candidates for the 2025 academician election, with 639 candidates from CAS and 660 from CAE [1][4][7] - The academicians' election occurs every two years, with the 2025 election process starting on April 25, 2025, and each academy allowed to elect no more than 100 new academicians [1][4][7] Summary by Sections Candidate Lists - The valid candidate list for CAS includes 639 individuals, confirmed by the CAS Academic Division and the Party Committee [4] - The valid candidate list for CAE includes 660 individuals, confirmed by the CAE's eighth session of the Academic Division [7] Election Process - The election process involves external peer evaluations and an election conference to select the new academicians [1][4][7] - The academicians' election is part of a broader initiative to respect knowledge and talent, serving national interests [1]