Swarm Robotics for Intelligent Disaster Response

Authors

  • Alex Lee
  • Kai Martin
  • Cameron Hernandez

Keywords:

swarm robotics, disaster response, autonomous robots, swarm intelligence, emergency management

Abstract

This paper explores the application of swarm robotics in intelligent disaster response scenarios. By deploying multiple autonomous robots working collaboratively, the research investigates how swarm intelligence can improve search and rescue operations in hazardous environments. The study focuses on the communication protocols and coordination strategies necessary for efficient swarm functioning. Results demonstrate the potential for swarm robotics to enhance the speed and effectiveness of disaster response, offering a scalable solution to complex emergency situations. The integration of robotics and artificial intelligence paves the way for new advancements in disaster management technologies.

Author Biographies

Alex Lee

PhD in Robotics
Massachusetts Institute of Technology
77 Massachusetts Ave, Cambridge, MA 02139, USA

Kai Martin

PhD in Computer Science
University of Tokyo
7 Chome-3-1 Hongo, Bunkyo City, Tokyo 113-8654, Japan

Cameron Hernandez

PhD in Mechanical Engineering
Odessa National Polytechnic University
Shevchenko Ave, 1, Odessa, Odessa Oblast, 65000, Ukraine

References

Mozumder, Md Shahin Alam, et al. "Hybrid contrastive learning with attention-based neural networks for robust fraud detection in digital payment systems." IEEE Open Journal of the Computer Society (2025).

Published

2025-08-04

Issue

Section

Articles