A two-stage framework for fair autonomous robot deployment using virtual forces

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Consider a set of landmarks that are distributed in an emergency scene and each needs a specific number of robots in its vicinity. This paper presents a two-stage framework for deploying robots autonomously for such scenarios. In the first stage, a Two-hop Cooperative Virtual Force Robot Deployment (Two-hop COVER) technique is employed. It expedites the deployment process by establishing a cooperative relationship between robots and neighboring landmarks. Two-hop communication is utilized as well to reduce the deployment time and traveled distance by robots to satisfy the mission requirements and optimize the deployment process. However, in certain scenarios, Two-hop COVER may not achieve full demand satisfaction. Therefore, the second stage, called Trace Fingerprint is invoked to guarantee full satisfaction. Finally, a fairness-aware version of Two-hop COVER is presented to consider scenarios in which the mission requirements are greater than the available resources (i.e. robots) and hence, the fairness-aware approach dispatches robots in proportion to each landmark's need. Extensive simulation experiments have been carried out to assess the performance of the proposed framework. The simulation results demonstrate the effectiveness of the proposed approaches considering several performance factors, such as total travelled distance, total exchanged messages, total deployment time, and Jain's fairness index.

Original languageEnglish
Pages (from-to)35-50
Number of pages16
JournalTransportation Research, Part A: Policy and Practice
Volume141
DOIs
StatePublished - Nov 2020

Bibliographical note

Publisher Copyright:
© 2020 Elsevier Ltd

Keywords

  • Cooperative deployment
  • Cyber physical systems
  • Dynamic coverage
  • Intelligent transportation
  • Multi-robot deployment

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Management Science and Operations Research

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