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Brief Announcement: Gathering Despite Defected View

Authors :
Yonghwan Kim and Masahiro Shibata and Yuichi Sudo and Junya Nakamura and Yoshiaki Katayama and Toshimitsu Masuzawa
Kim, Yonghwan
Shibata, Masahiro
Sudo, Yuichi
Nakamura, Junya
Katayama, Yoshiaki
Masuzawa, Toshimitsu
Yonghwan Kim and Masahiro Shibata and Yuichi Sudo and Junya Nakamura and Yoshiaki Katayama and Toshimitsu Masuzawa
Kim, Yonghwan
Shibata, Masahiro
Sudo, Yuichi
Nakamura, Junya
Katayama, Yoshiaki
Masuzawa, Toshimitsu
Publication Year :
2022

Abstract

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].

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1358731844
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.4230.LIPIcs.DISC.2022.46