Rescue Robots

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Intelligence Search and Rescue Robots Introductions and overview of the system Intelligence Search and Rescue Robots is a domain where robots can make difference for assisting the rescuers covers a large part of the robotic and artificial intelligence research themes. For example, robots may be able to enter disaster sites which are too difficult or too dangerous for humans to get into. Once there, robots can gather information about the situation, providing human operators with video feeds, maps, and sensor data. Using this information, humans might be able to make a better situation assessment, to aid emergency management. The design of systems that are suitable for this type of applications involves different research areas, from mechanical design and sensors interpretation to perception, decision making, mapping, path-planning and victim detection. The great losses in lives caused by such tragedies have demonstrated the need for the development of robotic aids to assist rescue workers in such time-critical and life risking undertakings .Urban disaster environments have been known to be very difficult to access by rescue workers of Urban Search & Rescue (USAR) missions due to the potential presence of asbestos, dust, poisonous gases, hazardous materials, radiation or extreme temperatures. Rescue robots provide a promising solution to assist rescue workers in terms of: Reducing personal risk to workers and rescue dogs by entering unstable structures. Increasing speeds of response by penetrating ordinarily inaccessible voids. Through the use of multiple cameras and sensor fusion in order to extend the reach of rescue workers to regions that are otherwise inaccessible. Techniques or methodologies employed in the system... ... middle of paper ... ...irs and navigate over uneven terrain. Others have focused on the development of high-level semi-autonomous control strategies that enable sharing of exploration and victim identification tasks between a rescue robot and an operator to minimize operator workload. Teamwork is a crucial component of rescue robot deployment, whether it is human-robot cooperation or multi-robot coordination. Furthermore, real-time task allocations techniques are needed, to distribute tasks to rescue robots in a team in order to have multiple robots work effectively together to achieve the rescue tasks at hand. The development and incorporation of simultaneous localization and mapping (SLAM) algorithms will also allow a single robot, robot teams and human-robot teams to develop 3D maps of USAR scenes in order to locate victims within these cluttered environments. References

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