ABSTRACT:
This research introduces an advanced quadruple spider robot designed for 3D mapping, utilizing Arduino Nano, ESP32, and LIDAR sensor technology. The integration of these components allows the robot to navigate and scan its surroundings, producing precise three-dimensional maps in real-time. The Arduino Nano serves as the microcontroller, while the ESP32 provides robust wireless communication capabilities. LIDAR technology ensures accurate distance measurement, enabling the robot to adapt efficiently to various environments. This innovative platform showcases significant potential for applications in surveillance, exploration, and disaster response. By leveraging the synergy between Arduino, ESP32, and LIDAR, the robot enhances spatial understanding and decision-making processes, offering a versatile solution for autonomous operations. The robot's real-time 3D mapping capabilities make it a valuable asset in scenarios requiring detailed environmental analysis and prompt situational awareness. This research underscores the effectiveness of combining microcontroller technology with advanced sensors to develop autonomous robotic systems capable of operating in diverse and challenging conditions. The practical implications of this technology extend to improving safety, efficiency, and operational effectiveness in critical missions.
Cite this article:
Sunny Raj, Yash Kumar Singh Jadon, Basanta Mahto (2024), Autonomous quadruple spider robot for surveillance and exploration with advanced 3D mapping, Spectrum of Emerging Sciences, 4 (1) 2024, 53-58, 10.55878/SES2024-4-1-10DOI: https://doi.org/10.55878/SES2024-4-1-10