Synergistic Design and Analysis of a Multi-Tasking Robot Enabling Artificial Intelligence for Hazard Response

This research paper presents a comprehensive study on designing and implementing a hyper-multifunctional robot tailored for hazard response and surveillance tasks. The development of the robot involved a meticulously planned and executed methodology, encompassing the design and construction of a sophisticated machine composed of 25 individual parts. The robot had cutting-edge sensing capabilities and mechanisms to perform multiple tasks simultaneously. Key components integrated into the robot included an image recognition camera, a water pump controller, and a servo controller, enabling three degrees of freedom. The primary control hub was based on an Atmega328p AVR microcontroller and esp32, and the control units were interconnected via a low-cost Bluetooth communication system. The prototype successfully demonstrated the significance of meticulous design and thoughtful consideration of each component, resulting in seamless interaction and the creation of a highly functional robot. Object detection was achieved using Yolo NAS, while HSV color space was employed for fire detection. The project's prospects encompass the utilization of more accurate servos, the installation of sensors for automated firefighting capabilities, and the reduction of latency by adopting wireless protocols like Esp32 radio frequencies.