## 4 Incorporation of Proposed Model in Urban Landscape Fumigation Service Robot
### Design Parameter Fixation of Fumigation Service Robot  
The design fixation for the fumigation service robot addresses both engineering requirements and user preferences. These parameters are categorized into two primary segments: functionality and aesthetic-based specifications, as illustrated in Figure 5. The functionality-based specifications focus on key considerations, including the type of terrain the robot will navigate, its battery capacity to support extended operation, and the number and type of wheels to provide smooth and stable movement. The robot's design must also integrate essential operational components, such as precise sensors for mosquito hotspot detection and obstacle avoidance. Additionally, the robot's functionality must align with operational and regulatory guidelines, ensuring safety and environmental compliance during fumigation activities. Aesthetic-based specifications, on the other hand, enhance the robot's visual appeal and usability. Compactness is another critical factor, ensuring that the robot can navigate tight urban spaces without compromising performance.  
Figure 4: Loss graph during the training of the MMF-VAE model for the fumigation service robots.  
In engineering requirements, the design specifications must meet several targeted requirements. These include adherence to safety standards, such as emergency stop mechanisms, collision avoidance systems, and water resistance, to ensure durability during fumigation in outdoor environments. The robot's navigation capabilities must be robust, allowing smooth movement across uneven terrains. User preferences play a significant role in guiding these specifications. For instance, the robot should be fully autonomous and capable of navigating urban landscapes without human intervention. Advanced sensors and algorithms must enable the robot to identify mosquito hotspots and target fumigation efforts effectively. Obstacle detection and avoidance systems ensure safe and efficient operations in dynamic environments, such as urban parks or residential areas. By balancing these engineering requirements and user preferences, the design parameter fixation ensures that the fumigation robot meets functional and aesthetic needs. The basic specification requirements considered in designing a fumigation service robot are detailed in Figure 6.  
Figure 7 illustrates the systematic approach to designing a fumigation service robot using the proposed MMF-VAE model. The process begins with parameter fixation, guided by engineering requirements and user preference evaluations, ensuring that the robot meets functional and aesthetic specifications. Next, feature mapping is performed to finalize the input design parameters; then, these fixed parameters are transformed into input prompts categorized as text and image prompts. Each keyword represents the design specification requirement for the fumigation robot. These text and image prompts are given as input to the proposed model, which utilizes a spraying robot database for training. The model generates initial designs based on these inputs and incorporates a feedback mechanism  
Figure 5: Key factors influencing parameter finalization.  
Figure 6: Parameters considered in designing the fumigation robot.  
to refine the outputs iteratively. Suppose the generated design fails to meet the targeted requirements (i.e., feedback error exists). In that case, the process loops back, refining the input parameters and retraining the model until a satisfactory output is achieved. Once the design aligns with the desired requirements, it is considered the final fumigation robot design. This workflow ensures that the fumigation robot is designed precisely, balancing functional performance, user preferences, and aesthetic appeal, driven by advanced Gen-AI capabilities.