Group 1 - The core viewpoint of the article emphasizes the growth and development in the embodied intelligence sector, highlighting increased financing, production trials, and innovative product designs [2][3][4] - In financing, apart from a few star companies, the number of component companies has increased, and their financing amounts have grown [2] - In production, several companies are beginning pilot projects, with many startups seeking funding backed by orders, while leading humanoid robot companies are exploring industrial-grade product deployment [2] Group 2 - In product design, mechanical arm products are gradually converging, while innovations in structure and size continue in mobile operations and humanoid robots, with companies focusing on cost reduction and supply chain management [2] - The deployment of robots is advancing, with companies like Digua Robotics launching the S600 to support edge-side deployment, and Thor applying its technology in humanoid robots and mobile operations [4] - The computational power of over 2000T is becoming a reference configuration in the industry [4] Group 3 - The community is actively planning research reports and welcomes newcomers interested in the embodied intelligence field, having established various sharing platforms over the past year [7] - The community offers continuous live sharing sessions, roundtable forums, and a comprehensive technical roadmap for beginners [8][13] - It provides valuable industry systems and project proposals for those already engaged in related research [15][16] Group 4 - The community has established a job referral mechanism with multiple embodied companies, facilitating connections between job seekers and employers [18] - Members can access exclusive learning videos and documents, enhancing the learning experience [23] - The community has compiled a wealth of resources, including open-source projects, datasets, and technical learning routes, to support both newcomers and advanced learners [19][30]

Financing - In the second half of the year, apart from some star companies, the financing amount for core component companies has increased, and the number of companies has also grown [2] Mass Production - Several companies have begun pilot projects, with many startups coming in with orders for financing. Leading humanoid robots are starting to explore industrial-grade product deployment [2] Product Design - Mechanical arm products are gradually converging, while innovations in structure and size continue in mobile operations and humanoid designs. Companies are also focusing on cost reduction, with supply chain management capabilities significantly influencing future competitiveness. Leading companies in the field are actively investing in component suppliers [2] Model Generalization - The optimization approach based on Reinforcement Learning (RL) is enhancing the generalization capabilities of models. Related toolkits are becoming more refined, making real machine deployment increasingly convenient [3] Deployment - DiGua Robotics has launched the S600 to assist with edge-side deployment. Thor is beginning to be applied in humanoid robots and mobile operations, with computing power above 2000T becoming a reference configuration [4] Community Development - The community is actively planning research reports and welcomes newcomers interested in entering or advancing in the field of embodiment. Over the past year, the community has completed various segments including technical route sharing, live broadcasts, Q&A, job seeking, and competitions [6] Technical Sharing - The community has prepared numerous roundtable forums and live broadcasts covering various topics from embodiment, data, to algorithms, gradually sharing what is happening in the embodiment industry and the problems that remain to be solved [8] Technical Roadmap - For beginners, the community has organized many technical stacks and routes to facilitate entry into the field [11] Industry and Project Solutions - For those already engaged in related research, the community provides valuable industry systems and project solutions [14] Job Referral and Career Support - The community has established a job referral mechanism with several embodiment companies, allowing members to submit their resumes directly to desired companies [16] Resource Compilation - The community has compiled a comprehensive list of open-source projects, datasets related to embodiment intelligence, and mainstream simulation platforms to assist members in their learning and research [17]

Core Insights - The article discusses the recent developments in the embodiment community, focusing on investment, production, product design, model generalization, and deployment in the robotics industry [1]. Financing - In the second half of the year, apart from a few star companies, the financing amounts for core component companies have increased, and the number of companies has also grown [2]. Production - Several companies have begun pilot projects, with many startups seeking financing backed by orders. Leading humanoid robot companies are exploring the deployment of industrial-grade products [2]. Product Design - The design of core robotic arms is gradually converging, while innovations in structure and size continue in mobile operations and humanoid robots. Companies are also focused on reducing costs, with supply chain management capabilities significantly influencing future competitiveness. Leading embodiment companies are actively investing in component suppliers, and multi-modal robots are slowly appearing in various scenarios [2]. Model Generalization - The optimization approach based on Reinforcement Learning (RL) is enhancing the generalization capabilities of models. Related toolkits are becoming more refined, making real machine deployment increasingly convenient [3]. Deployment - The launch of the S600 by Digua Robotics supports edge-side deployment. Thor is beginning to be applied in humanoid robots and mobile operations, with computing power exceeding 2000T becoming a reference configuration [4]. Community Development - The community is actively planning research reports and welcomes newcomers interested in the embodiment field. Over the past year, the community has completed various segments, including technical route sharing, live broadcasts, Q&A, job opportunities, and competitions, aiming to cultivate more talented individuals in the industry [6]. Educational Resources - The community offers a variety of live roundtable forums and broadcasts covering topics from embodiment, data, to algorithms, gradually sharing insights into the industry and unresolved issues [8]. - For beginners, a comprehensive technical stack and learning routes have been organized to facilitate entry into the field [10]. - For those already engaged in related research, valuable industry systems and project proposals are provided [14]. Job Opportunities - The community has established a job referral mechanism with multiple embodiment companies, allowing members to submit resumes directly to desired companies [16].

Core Viewpoint - The article emphasizes the evolution and commercialization of embodied intelligence in robotics, highlighting the collaborative efforts among industry partners to enhance technological capabilities and applications in various sectors [2][24]. Group 1: Event Overview - Horizon held the 2025 Horizon Technology Ecosystem Conference, focusing on the transition from smart vehicles to robotics and the potential of embodied intelligence [2]. - The founder and CEO of Horizon, Yu Kai, stated that the company aims to be the "brain" of robots, emphasizing the vast opportunities in the robotics sector [2]. Group 2: Technological Insights - Tsinghua University researcher Zhao Mingguo discussed the challenges of embodied intelligence, proposing a "VISION-MAPPING-ACTION" strategy model to enhance robots' reactive intelligence [4]. - The article mentions the development of the HoloMotion model for motion control and the FSR-VLN model for visual language navigation, which are crucial for robots to perform tasks effectively [10][11]. Group 3: Industry Collaboration - Fourier's CEO Gu Jie shared insights on creating human-centered AI robots, focusing on emotional interaction and the integration of advanced computing platforms [5][7]. - Vbot's CEO Yu Yinan introduced the world's first smart dog, BoBo, which operates without remote control and is designed to integrate into daily life [8]. Group 4: Market Trends and Future Directions - The article highlights the importance of a universal base and functional modules in robot design, which can accelerate the commercialization of embodied intelligence [21]. - The discussion points towards a diverse and non-monopolistic market for robotics, with various applications across industries, emphasizing the need for robust foundational infrastructure to support innovation [22][24]. Group 5: Development Ecosystem - Horizon's subsidiary, Diguo Robotics, aims to create a comprehensive ecosystem for developers, providing a one-stop development platform that integrates data loops and training environments [13][14]. - The article notes a significant increase in shipment volume and customer base for Diguo Robotics, indicating a growing interest in robotics development [14].