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Swarm Active Audition System with Robots and Drones for a Search and Rescue Task

Kazuhiro Nakadai, Makoto Kumon, Yoko Sasaki, Kotaro Hoshiba, Benjamin Yen

Year
2024
Citations
3

Abstract

This paper addresses the design of system based on drone audition and its necessity to search for rescuers. We propose a swarm active audition system (SAAS) that employs robots and drones as an efficacious means of identifying individuals in need of rescue during the initial stages of search and rescue operations. The concept and system architecture of SAAS is presented, and the effectiveness of drone audition functionality is demonstrated on a case study basis. Furthermore, interviews will be conducted with relevant personnel involved in search and rescue activities at disaster sites to ascertain the necessity of SAAS in the field. The necessity and lack of SAAS functions will be discussed in light of the analysis of these interviews.

Keywords

DroneComputer scienceSearch and rescueRobotTask (project management)Rescue robotHuman–computer interactionSwarm behaviourMobile robotArtificial intelligence

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