Multi-Algorithm Land Rescue Robot
Zhe Wang, Jiaxu Wang, Xinyuan Zhang, Yunfei Xie, Zichen Li, Yinqing Xie · 2025
In order to solve the current land environment is still faced with congestion, frequent accidents, natural disasters, inefficient management and extreme weather monitoring difficulties. This project uses Raspberry Pi 5 as the main control and STM32F103RCT6 expansion board as the auxiliary control to improve the terrain perception and navigation algorithm, and uses integrated VNC remote control, docker container, YOLOv8 algorithm and Gmapping map building algorithm as the software technology for autonomous navigation. It mainly combines the Raspberry Pi 5 six-degree of freedom robotic arm, depth camera, LiDAR, voice module, solar sustainable charging and other hardware technologies. Build environment model in Ubuntu system, realize 3D mapping, alarm, path planning, face recognition, environment recognition and other functions, improve detection efficiency and reduce labor cost. At the same time, it integrates multi-modal sensing, face recognition and terrain perception innovation, and introduces RTAB algorithm to achieve deep integration of vision and radar data, providing a full range of highprecision environmental perception, and ensuring the excellent performance of rescue robots in global positioning, autonomous navigation and automatic obstacle avoidance. The multi-algorithm rescue robot project builds a comprehensive intelligent monitoring and rescue system, improves rescue efficiency and safety, reduces manpower burden, shows the potential of future land rescue robots, and contributes to the construction of a safer, efficient and intelligent urban traffic environment.