E3S Web of Conferences (Jan 2022)

Experimental study on multi-robot 3D source localization in indoor environments with weak airflow

  • Chen Axiang,
  • Zhang Boyuan,
  • Cai Hao,
  • Wei Ling,
  • Liao Yu,
  • Zhou Bin

DOI
https://doi.org/10.1051/e3sconf/202235604008
Journal volume & issue
Vol. 356
p. 04008

Abstract

Read online

The purpose of this paper is to provide a new method for solving the problem of the 3D source localization in indoor environments with weak airflow by the experimental study on the multi-robot method. For this purpose, we developed a 3D MRO (mobile robot olfaction) system consisting of three mobile robots. The gas sensor carried with each robot has a moving range of 0.5 m to 1.5 m on the Z-axis. A total of 60 experiments were conducted to validate and compare the standard whale optimization algorithm (SWOA) and the standard particle swarm optimization (SPSO) methods in a 7.65 m×4.1 m experimental area with two source heights (0.75 m and 1.05 m). For two source heights, the success rate and localization step of the SPSO method are 56.7% (17/30) and 31.4 steps, respectively. In addition, the success rate and localization step of the SWOA method are 80% (24/30) and 32.9 steps, respectively. These results show that the SWOA method has strong application potential in indoor environments with weak airflow.