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Artificial Intelligence Based Framework for Robotic Search and Rescue Operations Conducted Jointly by International Teams

Part of the Smart Innovation, Systems and Technologies book series (SIST,volume 154)

Abstract

Many countries suffer from various natural disasters, including heavy rains, that are associated with further flood and landslide disasters. Based on our experiences of different disasters response, we develop a joint international operation framework for a disaster site management with distributed heterogeneous robotic teams that consist of unmanned aerial, ground, surface, and underwater vehicles. The artificial intelligence-based information collection system, which is targeting to become a worldwide standard, contains interaction protocols, thematic mapping approaches, and map fusion processes. The project provides a new working framework and control strategies for heterogeneous robotic teams’ cooperative behavior in sensing, monitoring, and mapping of flood and landslide disaster areas. In this paper, we present an overview of the system and a first stage toward robot interaction protocols development and the system modeling within robot operating system’s Gazebo environment.

Keywords

  • Robotics
  • Information system
  • Urban search and rescue
  • Usar
  • Ros
  • Gazebo
  • Heterogeneous robotic teams

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Acknowledgements

This work was supported by the Russian Foundation for Basic Research (RFBR), project ID 19-58-70002.

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Correspondence to Evgeni Magid .

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Magid, E. et al. (2020). Artificial Intelligence Based Framework for Robotic Search and Rescue Operations Conducted Jointly by International Teams. In: Ronzhin, A., Shishlakov, V. (eds) Proceedings of 14th International Conference on Electromechanics and Robotics “Zavalishin's Readings”. Smart Innovation, Systems and Technologies, vol 154. Springer, Singapore. https://doi.org/10.1007/978-981-13-9267-2_2

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