## 4 Incorporation of Proposed Model in Urban Landscape Fumigation Service Robot
### Development of Funigation Robot Based on Design Generation  
Based on design parameter optimization and finalization using the proposed MMF-VAE model, suitable specifications for a fumigation service robot for urban-landscape applications were identified, as presented in Table 5.  
Table 5 compares the specifications generated using the proposed model and those of the developed fumigation robot. The specifications cover key design aspects such as dimensions, weight, fumigation unit capacity, CPU processor, sensors, battery, type of autonomy, and drive type. The comparison demonstrates how the proposed model provides specifications that align closely with real-world requirements, balancing functionality and efficiency. It showcases weight optimization, sensor integration, and battery capacity improvements while effectively ensuring precise fumigation and robust navigation to target mosquito fumigation. By integrating multimodal inputs, Gen-AI ensured that the robot's components and functionalities align with the demands of urban environments, resulting in a robust and efficient solution for pest control. This development highlights the synergy between AI-driven design processes and practical implementation. The development of \begin{table}
\begin{tabular}{c c c} \hline \hline
**Parameter** & **Specifications Without Dataset** & **Specifications with Dataset** \\ \hline Dimensions & 1200 mm \(\times\) 800 mm \(\times\) 600 mm & 800 mm \(\times\) 600 mm \(\times\) 1200 mm \\ \hline Weight & 50 kg & 60 kg \\ \hline Battery capacity & 4.8 kWh & 30 Ah, 48 V (1.44 kWh) lithium-ion (for 4 h operation) \\ \hline Type of autonomy & Point-to-point navigation, Li-DAR-based & Semi-autonomous with manual override \\ \hline Drive type & 4-wheel drive, suitable for flat surfaces & DC motor, differential drive with rubber wheels \\ \hline Payload capacity & 15 L precision spraying tank & 10 L \\ \hline Sensors for localization & LiDAR, RGB depth camera & LiDAR, depth camera, GPS (for semi-outdoors) \\ \hline PC & Industrial PC & Industrial PC \\ \hline Spraying type & Precision spraying gun, fan, nozzle & Precision nozzle with adjustable flow rate \\ \hline Spraying system & 4 h & High-pressure pump, adjustable spray range \\ \hline Navigation system & - & Simultaneous localization and mapping \\ \hline Precision spraying & - & Vision-guided spraying system \\ \hline Terrain & - & Indoor and semi-outdoor, flat surfaces \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Final specification comparison of the fumigation robots generated without and with the dataset. the fumigation service robot focuses on efficient maneuverability, autonomous navigation, and precision in fumigation. The robot's locomotion is a BLDC motor-based differential drive mechanism in this design study. BLDC motors offer durability, precise control, energy efficiency, smooth torque, and navigation, making them ideal for robot locomotion in planar surfaces, commonly found in urban landscing infrastructure. Here, oriental motors, BLHM450 KC-30, are considered. The fumigation robot is equipped with advanced sensing technologies, including three-dimensional light detection and ranging (3D LiDAR) and depth cameras. Three-dimensional LiDAR ensures accurate spatial mapping and precise environmental scanning, while depth cameras add detailed depth perception, obstacle detection, and feature recognition. Together, they enable efficient navigation, target identification, and safe fumigation, even in complex and dynamic urban landscapes. In this prototype, the fusion of the Hesai QT128 3D LiDAR and Intel RealSense D435i depth camera enhances its spatial awareness, ensuring robust detection and navigation. This study adopts a controlled or precision spraying technique; it ensures precise chemical application, reduces wastage, and minimizes environmental impacts, making it better suited for autonomous fumigation robots compared to large-area spraying techniques.