The use of AI-enabled autonomous quadruped robots in disaster response: Robo Hund

Authors

  • Doruk Alp Kantos Author
  • Mustafa Akgül Author

Keywords:

Autonomous navigation, Disaster management, Fire response, Modular design, Robotic systems, Search and rescue

Abstract

This project aims to develop an artificial intelligence (AI)-supported, autonomous quadruped robot (Robo Hund) designed to operate during disasters, particularly in hazardous emergency situations such as fires where human access is not possible. The robot has been named Robo Hund. The primary objective is to protect human life in scenarios where rescue operations are difficult, to digitally reduce response time, and thereby minimize both casualties and material losses. The body of Robo Hund is constructed from materials resistant to extremely high temperatures and harsh debris conditions. It is equipped with a thermal camera for heat detection, sensors for hazardous gases and smoke, a fire suppression system, and a high-capacity battery. By utilizing deep learning technologies within artificial intelligence, the robot can rapidly detect the origin of a fire, initiate firefighting procedures, and transmit real-time information about environmental hazards to rescue teams. The system developed in this project features a modular structure that can be easily adapted to different types of disasters in the future and offers an innovative solution aimed at minimizing human risk in disaster management.

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Published

2026-04-11

Issue

Vol 2 (2026)

Section

Articles

License

Copyright (c) 2026 Doruk Alp Kantos, Mustafa Akgül (Author)

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