Published 2025-03-23
Keywords
- remote monitoring,
- obstacle avoidance,
- sensor integration,
- self-organizing robot,
- multipurpose mobile robot
How to Cite
Abstract
Development of a Self-Organizing Multipurpose Mobile Robot is aimed at creating a versatile robotic system capable of autonomously navigating through environments, monitoring surroundings, and streaming real-time data. The project focused on integrating advanced sensors and technology to achieve seamless obstacle avoidance, environmental data collection, and remote monitoring. It involved identifying the project requirements, selecting appropriate hardware and software components, assembling the chassis, mounting sensors, and coding for integration. The core hardware components included the ESP32-CAM module, flame sensor, PIR motion sensor, light detector sensor, rain sensor, and others. These components synergized to enable the robot to interact with its environment and make informed decisions. It further delved into the construction process, detailing the steps of assembling the chassis, mounting components, wiring sensors, and programming the microcontroller. The integration of various sensors was meticulously orchestrated to ensure accurate data collection and real-time video streaming. Subsequent testing and result analysis validated the project's success in achieving its goals. The robot demonstrated efficient obstacle avoidance, precise environmental data acquisition, and stable remote video streaming. The project's coding and system design facilitated seamless collaboration between hardware and software components, culminating in a functional and agile robotic system. The discussion and performance analysis section elaborated on the significance of sensor integration, coding efficiency, and seamless communication. In conclusion, the project's success underscored the potential of mobile robotics in diverse applications. The project's outcomes lay the groundwork for future innovations in robotic systems, emphasizing the importance of strategic integration, meticulous coding, and comprehensive testing in achieving functional and adaptable robots.