Core Insights - The rise of the humanoid robot rental market has been ignited since the 2025 Spring Festival Gala, with robots being used in various offline scenarios such as commercial performances, exhibitions, and corporate events [2][3] - The average rental cost for a single robot ranges from 5,000 to 8,000 yuan per day, while the purchase price for a general humanoid robot is between 100,000 and 300,000 yuan, making rental a more practical choice for most companies [3][4] Group 1: Market Dynamics - The demand for rental robots has exposed a core contradiction: generic robots produced by manufacturers often fail to meet the diverse needs of various scenarios, leading clients to seek more intelligent and interactive robots [3][4] - Companies like Feikuo Technology are addressing this issue by enhancing existing robots with external "computing boxes," sensors, and custom algorithms, allowing robots to quickly switch between different roles [4] Group 2: Technological Empowerment - Feikuo Technology has developed three major systems—Tianshu, Tianxuan, and Tianxun—that enable flexible empowerment of robots, allowing for quick adaptation to different brands and models without altering the robot's core structure [4] - The Tianshu system acts as the "brain" for scene interaction and navigation, while the Tianxuan system focuses on motion control and choreography, and the Tianxun system is tailored for quadruped robots in specific applications like inspection and security [4] Group 3: Standardization and Scale - To address the fragmented rental demand and inconsistent service quality, Feikuo Technology co-founded the "National Robot Rental Alliance," which has evolved into an independent platform called "Qingtian Rental," akin to a "robot rental version of Didi" [5] - This platform connects demanders, rental service providers, and robot manufacturers, facilitating a more standardized and scalable rental market [5] - The rental model not only serves immediate needs but also allows for real-world testing of robots, driving continuous technological iteration based on feedback from rental tasks [5]