Core Insights - The 27th China International High-Tech Achievements Fair (CIHTAF) opened in Shenzhen, focusing on the theme "Human-Machine Symbiosis, Intelligent Future" with a showcase of cutting-edge robotics technology and innovative products [1] - Fourier, a smart robotics company, presented its GRx series humanoid robots and the latest "Industrial Scene Solutions," demonstrating the integration of embodied intelligence in industrial manufacturing and human-machine collaboration [1] Group 1: Technology and Innovation - Fourier's Vice President, Zhai Yanqi, highlighted the company's technological layout and application plans in AI and embodied intelligence, emphasizing the closed-loop capability of robots in "perception-decision-action" [1] - The company has developed a comprehensive product system that includes core components, robot design, and application solutions, promoting the large-scale application of intelligent robots in real-world scenarios [1] Group 2: Industrial Applications - During the event, multiple GRx robots efficiently collaborated to perform tasks such as box handling, material transfer, and sorting, showcasing their ability to work together in complex environments [1] - The FOCUS (Fourier Orchestrated Control and Unification System) platform underpins the industrial solutions, focusing on high-frequency tasks like box handling and material sorting, creating a full-chain closed-loop operation system [2] Group 3: Interactive Solutions - In addition to industrial applications, Fourier introduced an interactive game "Tic-Tac-Toe" designed for health and companionship scenarios, integrating cognitive training concepts into a lightweight game format [2] - The robot utilizes visual models for precise perception of the game state and employs logical algorithms for real-time decision-making, enhancing the interactive experience with emotional feedback [2] - This initiative demonstrates the extensibility of the GRx series platform, supporting technology migration and functional deployment across different robot models, thereby increasing compatibility and scalability for future products [2]