具身的创业者，赌的是这个市场远远比普通人想的要大......

Core Insights - The article discusses the potential of embodied intelligence technology to transform various devices and services, suggesting that if technical and data challenges are resolved, many everyday items could be "embodied" [1][2] - The future of the industry is expected to shift from autonomous driving to embodied intelligence over the next decade, creating numerous job opportunities and attracting talent from various fields [2][3] Group 1: Industry Trends - The emergence of humanoid robots and mobile operation robots in various sectors such as healthcare, industry, and home services is highlighted, indicating a growing trend in embodied applications [1][2] - The concept of "VLA" (Visual Language Action) in autonomous vehicles is introduced, suggesting that users will be able to interact with systems using natural language for navigation and task optimization [1][2] Group 2: Market Opportunities - The potential for service and industrial robots to perform multiple tasks in parallel is emphasized, which could lead to more efficient production lines without the need for extensive reconfiguration [2] - The retail and service industries are expected to see significant advancements with the introduction of autonomous robots, capable of managing large spaces like supermarkets and restaurants [2] Group 3: Community and Knowledge Sharing - The "Embodied Intelligence Knowledge Planet" has established a closed-loop system across various fields, including industry, academia, and job-seeking, to foster community engagement and knowledge sharing [4][5] - The platform offers resources such as technical routes, job information, and access to industry experts, aiming to support both newcomers and experienced professionals in the field [5][11][12] Group 4: Educational Resources - The community provides a comprehensive list of over 30 technical routes for learning, catering to different levels of expertise, from beginners to advanced researchers [17][12] - Various resources, including open-source projects, datasets, and simulation platforms, are compiled to facilitate learning and development in embodied intelligence [17][32][36]