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  Published Paper Details:

  Paper Title

Robots to the Rescue: AI-Powered Disaster Response and Recovery Systems

  Authors

  Pankaj Chandra Sinha,  Mamta Singh

  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


AI and robotics have had good integration into disaster response and recovery over the past two years. The research paper focuses on the advancements of AI-powered robots in handling a wide array of disaster scenarios, from natural disasters like earthquakes, floods, and hurricanes to artificial crises involving industrial accidents and terrorist attacks. It reviews state-of-the-art technologies that allow robots to move through treacherous landscapes, perform search and rescue, transport medicine, and participate in restoring infrastructure. They include machine learning algorithms for real-time data processing, autonomous navigation, human-robot interaction, and multi-robot coordination. The paper also explains some challenges and limitations of AI-robotics systems, including ethics issues, logistics, and standardized protocols for deployment. We discuss how case studies and experimental results may point to the potential for AI-powered robots in transforming disaster response and recovery into life-saving and economically remedial activities.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1135677

  Paper ID - 267145

  Page Number(s) - 637-650

  Pubished in - Volume 4 | Issue 4 | November 2016

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.40951

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Pankaj Chandra Sinha,  Mamta Singh,   "Robots to the Rescue: AI-Powered Disaster Response and Recovery Systems", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.4, Issue 4, pp.637-650, November 2016, Available at :http://www.ijcrt.org/papers/IJCRT1135677.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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