Wang Xingxing from HuaZhu says at the World Internet Conference: The 'ChatGPT Moment' for Humanoid Robots Is Coming in as Few as Two or Three Years

Humanoid robots went from wobbling steps to boxing and dancing in just a few years; however, the critical point of being able to work effectively, rather than just moving, may be closer than most people expect. On July 22, at the 2026 World Internet Conference Digital Silk Road Development Forum held in Xi'an, Shaanxi, Wang Xingxing, founder and CEO of UBTech, took the opening speech platform and presented an extremely aggressive timeline: the "ChatGPT moment" of embodied intelligence may arrive within just two or three years.

The moment he referred to has both high and specific thresholds—by then, robots will be able to start working directly in most unfamiliar environments, running many basic functions smoothly, without relying on pre-programmed action libraries or human remote control. In recent years, the progress of such robots in walking, dancing, martial arts fighting, and even simple services has been evident. Wang Xingxing believes that this acceleration will push them over the threshold from demonstration to practical application.

AutoNavi Launches Full Stack Upgrade of the ABot Embodied System, Unveils Five Core Models at Once

On July 23, Alibaba’s Gaode (Amap) announced a full-stack upgrade of its ABot embodied system, releasing five core models including ABot-N1. It integrates perception, decision-making, execution, and memory, improving robots’ autonomous general task capabilities. It creates the world’s first full-stack system fusing a world model, foundation model, and embodied agent, marking a new stage of collaborative integration in embodied intelligence.....

Mingxi Intelligent Open Sources MiniCPM-Robot: Full Release of a 1.5B VLA Model, Personal Developers Can Now Run Operations on Real Robots

In the past, embodied intelligence was dominated by giants and laboratories due to large models and high barriers. On July 19, Mingxi Intelligent open-sourced its first series of embodied AI models, MiniCPM-Robot, fully releasing a 1.5B parameter vision-language-action model, enabling individual developers to perform operations and target tracking on real robots. The openness in the embodied field is rare. This series includes three core components.

AntGroup's LingBot-Video Open Source: The World's First Video Foundation Model for Embodied Intelligence!

AntGroup opensources the world's first video foundation model for embodied intelligence, LingBot-Video. This model restructures pre-training around robot requirements, systematically improving reasoning efficiency, physical plausibility, action understanding, and task completion. It provides an open-source foundation for embodied intelligence and has been validated on the RBench benchmark jointly released by Peking University and ByteDance.

New Breakthrough in Embodied Intelligence: Ant Group Open Sources LingBot-Vision, Enabling Robots to Have a Sense of Space

Ant Group's Robbyant opensources the LingBot-Vision model family, which achieves outstanding performance in dense space perception tasks through self-supervised vision Transformers and innovative boundary modeling. It surpasses large models with several times more parameters in multiple metrics, breaking the limitations of existing visual foundation models that focus heavily on object recognition, making precise perception of physical space by robots a reality.

The 'ChatGPT Moment' for Embodied Intelligence is Approaching: Yuque Technology Envisions a New Landscape for the Robot Industry

Chen Li of Unitree Robotics stated at the 2026 Yabuli Forum that embodied intelligence is on the verge of an explosion, with breakthroughs expected in 2–5 years. Its 'ChatGPT moment' will be marked by robots completing ~80% of tasks accurately in 80% of unfamiliar scenarios via voice/text commands. He predicts this milestone is near.....