一个大脑，多种本体：江行智能详解物理AI工业落地的系统解法

TL;DR - Jiangxing Intelligence presented JX-Phi, an industrial physical-AI system that uses one shared “brain” across multiple robot embodiments. It targets reliable, cost-efficient deployment in safety-critical infrastructure rather than dependence on massive compute or a single robot form factor.

• JX-Phi Brain combines multimodal encoding, shared and residual MoE components, action evaluation via a Critic and world model, and a rules-based Harness layer encoding industrial procedures.
• JX-Phi World uses AutoEdge for automated data discovery and AutoWorld for simulation, pretraining, and augmentation of rare or extreme operating conditions.
• The architecture supports drones, robot dogs, wheeled, bipedal, quadrupedal, and humanoid platforms across power grids, renewable energy, chemicals, oil and gas, storage, and data centers.
• Products include complete robots, retrofit AI controllers for existing machines, and the OmniSight S4 multimodal sensing payload; the company reports long-term deployments in substations and wind and solar sites.