Swarm Robotics for Disaster Management
Keywords:
AI-powered robots, disaster response, disaster recovery, search and rescue, autonomous, navigation, machine learning, human-robot interaction, multi-robot coordination, ethical considerations,, deployment logistics.Abstract
Over the last two years, AI and robots have been effectively integrated into disaster response and recovery efforts. The study article examines the progress of AI-powered robots in managing various crisis situations, including natural calamities such as earthquakes, floods, and hurricanes, as well as manufactured crises like industrial accidents and terrorist attacks. It examines cutting-edge technology enabling robots to navigate hazardous terrains, conduct search and rescue operations, deliver medical supplies, and assist in infrastructure restoration. They include machine learning techniques for real-time data processing, autonomous navigation, human-robot interaction, and multi-robot coordination. The document delineates many obstacles and constraints associated with AI-robotics systems, including ethical concerns, logistical issues, and the need for standardized deployment standards. This discourse examines how case studies and experimental findings may indicate the capacity of AI-powered robots to revolutionize disaster response and recovery into life-saving and commercially beneficial endeavors.
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