This project introduces "Ed," a wheeled humanoid robot with dual arms, developed by Suzhou Junji Robotics Technology Co., Ltd. to meet the needs of Industry 4.0 and intelligent manufacturing upgrades. Building upon Suzhou Jiangjin Automation Technology Co., Ltd.'s early explorations in industrial automation, the project further focuses on embodied intelligence. Unlike a conceptual lab model, "Ed" is a "practical" solution that has evolved from the real production line demands of over 200 leading manufacturing clients. The core innovation of the project lies in its design philosophy of "scenario-defined technology." We abandoned the traditional approach of "prioritizing technology before defining scenarios" and established a pragmatic implementation path of "functional first, then improved usability, followed by universal applicability." Based on profound insights into industrial environments (primarily flat surfaces with seated manual operations), we innovatively adopted a "wheel-based chassis + bionic dual arms" configuration, forsaking the mechanical fixation on "bipedal humanoid" forms. This approach achieves superior mobility stability, space utilization, and operational reliability in specific environments, truly embodying the design goal of "robots need not mimic humans, only outperform them.". The "Ed" robot integrates high-precision force control, autonomous navigation, and edge-side large model inference capabilities. Its single arm features 7 degrees of freedom, a 6kg payload capacity, and a repeat positioning accuracy of ±0.05mm, enabling it to handle complex tasks such as precision assembly, material sorting, and fault diagnosis. The deeper barrier of this project lies in transforming the hard-to-quantify craftsmanship knowledge of skilled workers into adaptable force control models executable by robots. For instance, it has successfully mastered techniques reliant on "tactile feedback," such as threading and knotting metal wires, which form our core competitive advantage that cannot be easily replicated.