TMTPost Publishes Commentary on Open-Source Embodied Intelligence

TMTPost published a commentary article on open-source embodied intelligence on July 29, 2026.

The confirmed facts are limited to TMTPost publishing a commentary on open-source embodied intelligence on July 29, 2026. The publication of a commentary is not primary evidence of the scope of released models or tools, their usage, or successful commercialization. The commentary’s argument should therefore not be treated as an established trend across the industry; it is important to distinguish discussion of technology releases from information showing specific implementations and operations. In a subsequent article, this newspaper reported that AgiBot displayed robots in operation and deployment examples, and cited coverage by leaderobot.com saying that, as of October 2026, cumulative effective intelligent operating hours had exceeded 62,000 hours. [AgiBot Displays Operating Examples at the China International Import Expo; Report Says Cumulative Effective Intelligent Operating Hours Exceed 62,000](/en/news/agibot-showcases-operational-cases-at-import-expo-reported-effective-i-bfc739). However, this figure is a cumulative total, not the operating hours of a single unit, and its calculation conditions and scope should be considered separately. The report alone does not establish which models or training methods the operating robots used, or how open-source work contributed to their operation. Separate evidence is needed to link the commentary’s subject to real-world operating figures. To assess open source in terms of implementation, it will be important to determine how much is released—whether the release includes the model itself, training data or post-training tools—and whether the compatible robots and interfaces are specified. In addition, without information on tasks performed by physical robots, how operating hours are tallied, performance evaluations that include failures, and the relationship between model updates and field data, it is difficult to judge reproducibility or deployment impact based solely on whether something has been released. The article information provided and related coverage do not allow these conditions to be compared for the same subject. This item should therefore be regarded as the publication of commentary on open-source embodied intelligence, not as an announcement demonstrating a track record of technology deployment.