Design and Implementation of OTONUMBA: A Portable Autonomous Fire-Extinguishing Robot with Vision-Based Targeting

As urban infrastructures grow increasingly complex, the need for intelligent and autonomous systems to ensure early fire detection and extinguishment has become more critical than ever. In this context, this study introduces OTONUMBA, an autonomous robotic system equipped with a 360-degree field of view, designed to detect and extinguish indoor fires at an early stage through intelligent perception and automated intervention. The system utilizes real-time visual analysis to identify potential fire outbreaks and dynamically adjusts its orientation to deliver targeted extinguishment. A modular architecture integrating perception, decision-making, and actuation processes ensures coordinated and efficient performance, while a web-based interface provides real-time monitoring and optional manual control. Experimental evaluations demonstrate the system's capability to accurately determine fire location, adapt its response, and achieve effective extinguishing. The results validate OTONUMBA as a portable, cost-effective, and scalable solution for enhancing fire safety in smart buildings, industrial environments, and high-risk indoor areas.