License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2022.46
URN: urn:nbn:de:0030-drops-172377
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Kim, Yonghwan ; Shibata, Masahiro ; Sudo, Yuichi ; Nakamura, Junya ; Katayama, Yoshiaki ; Masuzawa, Toshimitsu

Brief Announcement: Gathering Despite Defected View

LIPIcs-DISC-2022-46.pdf (0.5 MB)


In this paper, we provide a new perspective on the observation by robots; a robot cannot necessarily observe all other robots regardless of distances to them. We introduce a new computational model with defected views called a (N,k)-defected model where k robots among N-1 other robots can be observed. We propose two gathering algorithms: one in the adversarial (N,N-2)-defected model for N ≥ 5 (where N is the number of robots) and the other in the distance-based (4,2)-defected model. Moreover, we present two impossibility results for a (3,1)-defected model and a relaxed (N, N-2)-defected model respectively. This announcement is short; the full paper is available at [Yonghwan Kim and others, 2022].

BibTeX - Entry

  author =	{Kim, Yonghwan and Shibata, Masahiro and Sudo, Yuichi and Nakamura, Junya and Katayama, Yoshiaki and Masuzawa, Toshimitsu},
  title =	{{Brief Announcement: Gathering Despite Defected View}},
  booktitle =	{36th International Symposium on Distributed Computing (DISC 2022)},
  pages =	{46:1--46:3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-255-6},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{246},
  editor =	{Scheideler, Christian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-172377},
  doi =		{10.4230/LIPIcs.DISC.2022.46},
  annote =	{Keywords: mobile robot, gathering, defected view model}

Keywords: mobile robot, gathering, defected view model
Collection: 36th International Symposium on Distributed Computing (DISC 2022)
Issue Date: 2022
Date of publication: 17.10.2022

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