Detecting the Distribution of a Robotic Swarm in Uncertain Conditions

Eliashiv Cohen, Yakov Idelson, Oded Median, Nir Shvalb, Shlomi Hacohen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Localization problem of a swarm is required for most tasks related to swarms. In many cases real world sensors possess inherent measurement error. Nevertheless, having a large set of inter-measurements may compensate for this. The paper implements Extended Kalman Filter to estimate the swarm's distribution. Indeed, a set of simulated experiments demonstrate the algorithm robustness and simplicity. Finally, we show that the resulting error estimation is reliable.

Original languageEnglish
Title of host publication2019 IEEE 7th International Conference on Control, Mechatronics and Automation, ICCMA 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages104-107
Number of pages4
ISBN (Electronic)9781728137872
DOIs
StatePublished - Nov 2019
Event7th IEEE International Conference on Control, Mechatronics and Automation, ICCMA 2019 - Delft, Netherlands
Duration: 6 Nov 20198 Nov 2019

Publication series

Name2019 IEEE 7th International Conference on Control, Mechatronics and Automation, ICCMA 2019

Conference

Conference7th IEEE International Conference on Control, Mechatronics and Automation, ICCMA 2019
Country/TerritoryNetherlands
CityDelft
Period6/11/198/11/19

Keywords

  • probability-density-function
  • robotic-swarm
  • swarm-distribution

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