AI Driven Design -
March . 2025
The challenge is fast iteration under tight deadlines while balancing structure, function, and interaction. The robot must be practical and align with the brand and market, requiring a balance between innovation and feasibility.
This project highlights AI's role in empowering design, offering new insights for future smart service products. AI tools enhance efficiency by integrating data and adapting to the design process.
Feb. 2025 - Mar. 2025
Industrial Design
Research
Sketching
Prototyping
3D Modeling
AI-assisted design
Chat GPT
Midjourney
Stable Diffusion
Comfy UI
Rhino
Keyshot
Taihe Water Group develops smart water solutions. To enhance service and efficiency, it introduced a humanoid robot.As a service and industrial designer, I used AI tools to accelerate the design process, from concept to implementation, ensuring the robot met company needs.The project successfully delivered an intelligent, functional service robot, advancing the company’s smart innovation.
Step 1 - Mood board creation
In the research phase, we identified three viable design directions through company discussions, market analysis, and competitor studies, ensuring alignment with Taihe Water Group’s brand and smart service needs.
Unlike traditional moodboards, our AI-assisted workflow focused the main board on product form and aesthetics, while supporting images extracted style keywords. AI tools helped refine shape language to match the design vision while maintaining consistency with the company’s product ecosystem, laying the groundwork for detailed refinement and structural optimization.
Moodboard 1 - Hard technology style
Professionalism - technology - future
Emphasizing protection, security, and monitoring
Multi-faceted chest design for a stronger, powerful form
Moodboard 2 - humanity&technology
Friendly - natural - professional
Feminine form, smooth transitions
Rounded, full shape.4o
Moodboard 3 -Natural form aesthetics
Friendly - natural - professional
Natural forms
Streamlined elements
Soft and "cute" aesthetics.
Step 2.1 - Concept & AI-assisted generation
Building on our initial Moodboard, we used MidJourney for base image generation, with supporting images refining prompts and optimizing parameters. This iterative process helped develop concepts aligned with the design direction.
Throughout AI generation, we focused on proportions, form language, feasibility, and brand alignment. After selection and refinement, we ensured the final robot design was both innovative and practical for real-world application.
IMGAE used as AI base reference PROMPT+Base Image generation PROMPT Reverse keyword
AI-assisted concept development
Screening solutions and AI-assisted local modification
AI preliminary concept plan
Step 2.2 - Sketch & AI-assisted generation
In addition to using MidJourney for initial concept generation, we integrated hand sketching and Stable Diffusion for more refined exploration. Sketching allowed us to quickly outline key forms and structural logic, while Stable Diffusion produced high-quality renderings for precise detail control and design expression.
This process enhanced iteration efficiency while maintaining creative control, ensuring a balance of artistic expression and industrial feasibility. It also provided a solid visual foundation for subsequent 3D modeling and structural optimization.
Sketch AI Rendering
AI Preliminary Concept 2
Step 3 - Concept fusion and AI redrawing optimization
After generating multiple concept proposals, we overlaid them with the original model for comparison, analyzing structural feasibility, manufacturing constraints, and functional requirements. Unrealistic elements were eliminated, and the most viable design features were extracted to form an optimized concept.
After generating multiple concept proposals, we overlaid them with the original model for comparison, analyzing structural feasibility, manufacturing constraints, and functional requirements. Unrealistic elements were eliminated, and the most viable design features were extracted to form an optimized concept.
Internal structure of the robot Final screening of concept proposals
Merge
AI Repaint
Step 4 - 3D digital modeling
After finalizing the design with Taihe Water Group, we moved to the digital modeling phase, transforming the optimized concept into a precise 3D model to ensure structural and engineering feasibility.
During modeling, we refined proportions, structural details, and material selection, while integrating Taihe Water’s brand identity through form, color, and branding elements. This phase ensured the robot met both visual and functional requirements, laying a solid foundation for prototype manufacturing and testing.
Designing througha different lens.