368
Views
6
CrossRef citations to date
0
Altmetric
Articles

Probability-triggered formation control with adaptive roles

, ORCID Icon, ORCID Icon &
Pages 1989-2000 | Received 27 Jan 2018, Accepted 16 Oct 2018, Published online: 31 Oct 2018
 

ABSTRACT

Formation control for a team of robots is investigated in this paper. We consider the case where no communication channels are available. Only sensors with limited ranges can provide the robots with the relative displacements to nearby robots. The robots themselves are fully independent with exchangeable positions in the predefined formations. Thus the robot team is distributed both physically and in their information flow. To deal with the lack of communication, a distributed control strategy is proposed to drive the robots to a potentially flawed formation. Then, a coordination protocol is presented to detect the imperfections such that the locally desired formations are transformed into a globally desired formation. An evaluation method is given to impose a weak restriction on the predefined formation, rendering it almost arbitrary. The minimal local topology is proposed to enhance the robustness. The coordination protocol is then modified by introducing probability to reduce the computation burden and avoid the infinite trajectory loop.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,709.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.