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]
没有专网,机器人寸步难行