Group 1 - The MARS F1 robot's global launch event faced unexpected challenges due to overwhelming attendance, with over 1,000 people present instead of the planned 500, leading to network failures [1] - The robot's advanced embodied intelligence system relies on real-time data transmission, which was disrupted by the high number of simultaneous connections, causing the robot to malfunction [1] - The technical team from Shandong Future Robotics quickly implemented a dedicated network solution, allowing the MARS F1 robot to resume its functions and perform successfully during the event [1] Group 2 - The dedicated network, referred to as the "embodied intelligent robot private network," was strategically developed in anticipation of the limitations of public networks for real-world applications of robots [2] - This private network integrates 5G deterministic networking, edge computing, and network slicing technologies, effectively providing a high-capacity, low-latency communication channel for the robot [2] - The event highlighted the necessity of dedicated networks for robots in the era of embodied intelligence, emphasizing that such networks are essential for real-time data transmission and operational efficiency [2]

Core Insights - The MARS F1 robot, featuring advanced embodied intelligence technology, was launched at a high-profile event, showcasing its capabilities through real product demonstrations [1][3] - The event highlighted the critical need for dedicated network support for robots, as traditional public networks failed to meet the high demands for real-time data transmission, leading to temporary operational issues [3][8] Group 1 - The MARS F1 robot's performance was temporarily hindered due to network congestion caused by over a thousand simultaneous connections, which exceeded the bandwidth and latency control capabilities of public networks [3][6] - The company quickly implemented an emergency plan by establishing a dedicated "embodied intelligence robot private network," which integrated 5G deterministic networking, edge computing, and network slicing technologies [5][6] - This dedicated network solution allowed for independent data transmission, effectively mitigating the risks associated with public network congestion and ensuring smooth operation of the MARS F1 robot during the event [5][6] Group 2 - The incident during the launch served as a significant lesson for the embodied intelligence industry, emphasizing that as robots transition from demonstration tools to practical applications, the requirement for robust network support has become essential [8] - The proactive development of the dedicated network by the company not only resolved the immediate issue at the event but also set a benchmark for the industry, highlighting the importance of stable and precise interactions with the physical world [8] - Experts noted that when robots require real-time transmission of large sensor data and must execute commands with millisecond-level response times, a high-bandwidth, low-latency, and secure dedicated network is an indispensable infrastructure [8]