Group 1 - Zhou Hongyi, founder of 360 Group, participated in a live cooking test with Yang Jiancheng, founder of Xianglu Robotics, highlighting the capabilities of AI cooking robots in achieving "wok hei" [3][6] - Xianglu Robotics has shipped nearly 10,000 commercial cooking robots, which ensure consistent taste and reduce the difficulty of standardization in chain restaurants [3][6] - Zhou suggested that cooking robots should expand from equipment to an ecosystem, while Xianglu plans to launch a new monthly rental business model in Q4 [3][6] Group 2 - UBTECH, known as the "first stock of humanoid robots," signed a global strategic cooperation agreement with Cloud Intelligence Technology (a Foxconn subsidiary) to advance humanoid robot manufacturing and delivery [6][9] - The agreement outlines the division of responsibilities between the two companies, with Cloud Intelligence focusing on global sales and UBTECH on R&D and production [6][9] - Both companies aim to create a "humanoid robot + smart factory" demonstration scenario to promote smart manufacturing upgrades and global expansion [6][9] Group 3 - Harbin Engineering University's agile underwater robot "Turtle" was unveiled in the South China Sea, achieving centimeter-level precision in near-seabed environmental observation [9][11] - The robot's design reduces sediment interference by 90% during navigation, and it employs a new inertial measurement method that decreases data noise by approximately 76.2% [9][11] - The "Turtle" features a 360-degree maneuverability capability, making it suitable for applications in coral observation, underwater fishing, and search and rescue [9][11] Group 4 - OpenMind released the world's first "AI-native" open-source robot system, aimed at creating a unified development platform for various types of robots [11][13] - The system is hardware-neutral and supports multiple robot forms, allowing for quick deployment and compatibility with various AI models [11][13] - It integrates SLAM technology for stable movement in complex environments and includes a front-end interface for real-time monitoring of robot status [11][13] Group 5 - NVIDIA made its first investment in a Taiwanese startup, MetAI, which specializes in creating digital twin environments for AI training [17] - MetAI's platform can generate virtual defect products to assist in AI defect detection, significantly reducing design time for manufacturers [17] - NVIDIA's interest in MetAI stems from its alignment with the demand for "physical AI," facilitating a bidirectional cycle between the real and virtual worlds [17]