Autonomous Search and Rescue Robot

In disaster-stricken environments, traditional search and rescue methods often encounter significant challenges due to adverse conditions such as smoke, fog, darkness, or complex terrains. Advancements in autonomous robotics and sensor technologies provide effective solutions to enhance the efficiency and reliability of rescue operations. This work focuses on the development of an autonomous search and rescue robot equipped with LiDAR based mapping and thermal imaging technology. The LiDAR system enables real-time 2D mapping of the environment, ensuring precise navigation and obstacle avoidance in dynamic and unstructured terrains. At the same time, the thermal imaging system detects heat signatures, allowing the identification and localization of humans or animals that may be obscured by environmental hazards. The proposed robotic system is designed to operate in disaster scenarios where human intervention is difficult or hazardous. By utilizing LiDAR for navigation and thermal imaging for survivor detection, the robot can autonomously move through challenging terrains while effectively identifying potential survivors. The integration of advanced sensing technologies with intelligent navigation algorithms enhances adaptability and reliability in critical situations. This approach aims to improve the speed and accuracy of locating victims, ultimately contributing to more effective and life-saving search and rescue missions.