Inspired by nature, robotic swarms can be dramatically helpful in search-and-rescue missions after natural or human-caused disasters, especially when the environmental conditions make dangerous the direct intervention of human rescuers. In this research, we focus on a simulated scene for a target-reaching mission, simulated on Webots, jointly with a recent quantum algorithm modeling pairwise interactions in a swarm. The platform Webots is known for its portability and free accessibility. Quantum computing offers new potentialities regarding efficiency and computational time, but its application to the robotic domain is a largely unexplored field. Here, we propose a connection between the IBM quantum simulators and the Webots platform, perform a comparison between a purely random procedure and the results obtained with the quantum circuit, and discuss possible future developments of the research.

Swarm Robotics and Quantum Computing in Simulated Environments

Mannone M.
;
Seidita V.;Chella A.
2024

Abstract

Inspired by nature, robotic swarms can be dramatically helpful in search-and-rescue missions after natural or human-caused disasters, especially when the environmental conditions make dangerous the direct intervention of human rescuers. In this research, we focus on a simulated scene for a target-reaching mission, simulated on Webots, jointly with a recent quantum algorithm modeling pairwise interactions in a swarm. The platform Webots is known for its portability and free accessibility. Quantum computing offers new potentialities regarding efficiency and computational time, but its application to the robotic domain is a largely unexplored field. Here, we propose a connection between the IBM quantum simulators and the Webots platform, perform a comparison between a purely random procedure and the results obtained with the quantum circuit, and discuss possible future developments of the research.
2024
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
quantum computing
search and rescue
simulation
swarm robotics
File in questo prodotto:
File Dimensione Formato  
AIRO_2023_paper_2(Thomas_et_al).pdf

solo utenti autorizzati

Licenza: Altro tipo di licenza
Dimensione 514.32 kB
Formato Adobe PDF
514.32 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/519435
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact