On July 19, the WAIC 2026 World Model 'Six Little Dragons' Summit Forum took place in Shanghai, focusing on the integration of world models and embodied intelligence. Wujie Power's co-founder and CTO, Xia Zhongpu, participated in a roundtable discussion, emphasizing the transition of physical AI from understanding to execution. He highlighted the importance of causal modeling and the need for a systematic approach combining models, data, and training methods.
Xia Zhongpu elaborated on the core logic of world models, stressing that understanding the causal laws of the physical world is essential for future predictions and decision-making. He noted that the combination of world models and reinforcement learning is crucial for advancing the industry. Wujie Power has adopted a dual-driven technology path, integrating latent space world models with reinforcement learning to enhance robots' capabilities in unknown environments.
Recently, Wujie Power launched the MWA™ embodied general brain, the world's first long-sequence bidirectional physical causal chain model, achieving a record in the authoritative embodied intelligence rankings. The company has secured global market orders totaling $100 million, covering six countries and four core application scenarios, demonstrating its strong technological implementation capabilities. No further timeline was disclosed at the time of publication.
Editor's Note
The advancements in physical AI and embodied intelligence are reshaping the robotics landscape. As companies like Wujie Power push the boundaries of technology, the integration of causal modeling and reinforcement learning will be pivotal in enhancing robotic capabilities across diverse applications. This trend highlights the importance of systematic approaches in AI development and deployment.
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