Investment Rating - The report does not explicitly state an investment rating for the industry or specific companies involved in embodied intelligence [5]. Core Insights - The WAIC Intelligence-Inspired Embodied Forum highlighted three key technological advancements: the launch of the AgiBot World dataset, the Genie Envisioner platform for dual-arm robots, and the open-source ecosystem for operating systems [1][18]. - The industry is moving towards a closed-loop implementation model driven by data, models, ontologies, and scenarios, addressing the data scarcity issue and enhancing productivity across various sectors [2][19]. - The Genie Envisioner platform represents a significant leap in robot decision-making, transitioning from passive execution to an autonomous "imagine-verify-act" loop, improving task success rates significantly [3][20]. - Collaboration between academia and industry is accelerating technological integration, with notable contributions from institutions like Stanford and Tsinghua University [4][21]. - The Lingqu OS aims to establish a "Windows-like" position in the embodied intelligence era, addressing fragmentation in robot hardware and software through an open-source strategy [4][22]. Summary by Sections Event Highlights - The WAIC forum gathered leading institutions and showcased advancements in embodied intelligence, including the AgiBot World dataset with 1 million video streams and nearly 3,000 hours of operation data [1][18]. - The Genie Envisioner platform was introduced, achieving task success rates that exceed industry averages in various applications [1][18]. Technological Developments - The report emphasizes the importance of a closed-loop system for industrial applications, driven by data and models, which has been validated in sectors like manufacturing and logistics [2][19]. - The Genie Envisioner platform integrates advanced models for improved decision-making and task execution, enhancing operational efficiency [3][20]. Industry Collaboration - The forum underscored the trend of collaboration between academic institutions and industry players, focusing on overcoming challenges in technology integration and application [4][21]. Open-Source Strategy - The Lingqu OS is set to be open-sourced by Q4 2025, aiming to unify development standards and reduce barriers for developers in the robotics field [4][22].