Shengshu Technology's MotuBrain Defines Embodied Intelligence Brain Standard as Cross-Border Dark Horse Tops Two Charts

The "mysterious model" that has been making rounds in the embodied intelligence field for three weeks has finally been identified. A few weeks ago, a model called MotuBrain quietly rose to the top of two major international benchmarks for physical world understanding and action execution, sparking widespread curiosity in the industry. Recently, Shengshu Technology, known for its video generation model Vidu, officially confirmed that this model is its latest commercial product in embodied intelligence.

This cross-domain move is far from a casual experiment. MotuBrain set new records on WorldArena (testing physical world understanding) and RoboTwin 2.0 (assessing action execution). In particular, in complex environments with simulated random disturbances, it was the only model to achieve an average score above 95, demonstrating strong generalization capabilities.

"See and Act": Breaking Down Barriers Between Perception and Action

Unlike traditional "imagine first, then act" models, MotuBrain adopts an innovative "World Action Model" framework. This "see and act" design enables robots to simulate while making decisions, preventing prediction and execution errors from compounding each other, and significantly improving response speed.

In practical demonstrations, robots equipped with this system displayed a high level of intelligence. In a hot pot scenario, the robot could visually determine if the spoon was empty and autonomously decide whether to retrieve it again, rather than rigidly repeating predefined actions. This ability to "read the scene" marks the transition of robots from simple mechanical execution to true intelligent decision-making.

One Brain, Multiple Forms: Seamless Long-Horizon Task Execution

The core strength of MotuBrain lies in its strong versatility. It supports a "one brain, multiple forms" approach, adapting to robot bodies with different degrees of freedom and sensor configurations, while also handling long-horizon tasks. In demonstrations such as flower arranging, cocktail mixing, and sofa tidying, the robot can complete over ten atomic actions in sequence, with a smooth process requiring no human intervention.

Data shows that as the variety of tasks increases, the learning success rate of MotuBrain tends to improve. This indicates that the model has grasped the universal underlying laws of the physical world, rather than memorizing action templates. The more diverse the tasks, the better its performance.

Establishing a Physical World Presence, Pursuing Dual Tracks in Digital and Physical Realms

The strength demonstrated by Shengshu Technology stems from its deep technical foundation. Through the world-first U-ViT architecture, the company unified digital world generation (VGM) and physical world execution (WAM). On one hand, Vidu generates virtual worlds, while on the other, MotuBrain drives physical interactions. This dual-track strategy gives it a significant advantage in data acquisition costs and model iteration speed.

Currently, Shengshu Technology has formed strategic partnerships with several companies, including WuJie Dynamics and XingChen Intelligence. As competition in embodied intelligence shifts focus, model developers with a general-purpose "brain" are becoming key forces reshaping the industry landscape.