Guangxiang Technology

Guangxiang Technology and Tsinghua University's Li Shengbo research group have released Phi-WM 1.0 ActEffect, a first-generation world model for physical-native intelligence (Phi), and Phi-bot X1, an industrial self-evolving embodied AI robot aimed at automotive welding loading/unloading and mobile inspection. The robot has completed product validation and entered real-machine deployment on production lines at more than one luxury car plant. The company says deployment is over 10 times faster than traditional industrial automation, post-training real-machine data takes tens to dozens of hours and under 100 hours, and mobile inspection runs over 20% faster than existing line cadence without pre-installed physical infrastructure or fixed cameras.

A physics-native world model called Phi-WM 1.0 ActEffect has been released by Guangxiang Technology and Tsinghua University. During training, a controlled world model evaluates action consequences and feeds that signal back into policy optimization; at execution it is removed from the deployment path to reduce latency and compute cost.

On LIBERO, LIBERO-PLUS, and RoboCasa-GR1, the developers report average success rates of 98.8%, 80.3%, and 67.5%. Commercial cooperation in automotive manufacturing is already under way.