Intelligence Search and Rescue RobotsIntroductions and system overviewIntelligence Search and Rescue Robots is an area where robots can make a difference in helping rescuers and covers a large part of the research topics in robotics and artificial intelligence. For example, robots may be able to enter disaster sites that are too difficult or dangerous for humans. Once there, robots can gather information about the situation, providing human operators with video feeds, maps and sensor data. With this information, humans may be able to make a better assessment of the situation, to facilitate emergency management. Designing systems suitable for this type of applications involves different areas of research, from mechanical design and sensor interpretation to perception, decision-making, mapping, trajectory planning and casualty detection . The great loss of life caused by such tragedies has demonstrated the importance of developing robotic aids to assist rescuers in such urgent and life-threatening undertakings. Urban disaster environments are known to be very difficult to access by emergency responders in urban search and rescue (USAR) missions due to the potential presence of asbestos, dust, toxic gases, hazardous materials, radiation or extreme temperatures. Rescue robots offer a promising solution to assist rescuers in terms of: Reducing personal risk to workers and rescue dogs when entering unstable structures. Increased response speeds by penetrating normally inaccessible voids. Through the use of multiple cameras and sensor fusion to extend the reach of rescuers into areas that would otherwise be inaccessible.Techniques or methodologies employed in the system...... middle of paper .... ..irs and navigate rough terrain. Others have focused on the development of high-level semi-autonomous control strategies allowing the sharing of exploration and victim identification tasks between a rescue robot and an operator to minimize the workload of the rescue robot. 'operator. Teamwork is a crucial part of deploying rescue robots, whether it is human-robot cooperation or multi-robot coordination. Additionally, real-time task allocation techniques are needed to distribute tasks among team rescue robots so that multiple robots work. together effectively to accomplish the rescue tasks at hand. The development and incorporation of simultaneous localization and mapping (SLAM) algorithms will also allow single robot, robot teams, and human-robot teams to develop 3D maps of USAR scenes to locate victims in these cluttered environments.