Analysis of Exploration in Swarm Robotic Systems

Minyoung Jeong, John Harwell, Maria Gini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The exploration time for a swarm of robots doing object gathering depends on the specific task, environment, number of objects, and number of robots. Hence, it is important to understand how different properties affect the exploration time. To address this practical challenge, we present a theoretical analysis of the expected exploration time for a swarm of robots that are searching for objects in an arena and present experimental results obtained with different swarm sizes. The experimental results are consistent with the theoretical analysis.

Original languageEnglish (US)
Title of host publicationIntelligent Autonomous Systems 16 - Proceedings of the 16th International Conference IAS-16
EditorsMarcelo H. Ang Jr, Hajime Asama, Wei Lin, Shaohui Foong
PublisherSpringer Science and Business Media Deutschland GmbH
Pages445-457
Number of pages13
ISBN (Print)9783030958916
DOIs
StatePublished - 2022
Event16th International Conference on Intelligent Autonomous Systems, IAS-16 2020 - Virtual, Online
Duration: Jun 22 2021Jun 25 2021

Publication series

NameLecture Notes in Networks and Systems
Volume412 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference16th International Conference on Intelligent Autonomous Systems, IAS-16 2020
CityVirtual, Online
Period6/22/216/25/21

Bibliographical note

Funding Information:
We gratefully acknowledge the MnDRIVE RSAM initiative at the University of Minnesota, the Minnesota Robotics Institute, the Minnesota Supercomputing Institute, and the Undergraduate Research Opportunities Program at the University of Minnesota for their support.

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Exploration time estimate
  • Foraging
  • Swarm robotics

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