eprintid: 1878
rev_number: 16
eprint_status: archive
userid: 261
dir: disk0/00/00/18/78
datestamp: 2016-10-27 07:09:11
lastmod: 2016-10-27 07:09:11
status_changed: 2016-10-27 07:09:11
type: conference_item
metadata_visibility: show
creators_name: Pham, Duy Hung
creators_name: Tran, Quang Vinh
creators_name: Ngo, Trung Dung
creators_id: hungpd@vnu.edu.vn
creators_id: vinhtq@vnu.edu.vn
title: An Online Local Boundary Detection and Classification Algorithm for Networked Multi-Robot Systems
ispublished: pub
subjects: ECE
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: We present an online boundary classification error detection algorithm to improve accuracy of the original
distributed boundary detection algorithm for networked multirobot systems. It is a fully decentralized method based on the geometric approach allowing to suppress boundary errors without recursive process and global synchronization. The accuracy of the ration of correctly identified robots over the total number of robots reaches 100%. We have demonstrated the effectiveness of this boundary detection algorithm in both simulation and real-world environment.
date: 2016-10-12
date_type: published
full_text_status: none
pres_type: paper
pagerange: 253-258
event_title: the 2016 International Conference Advanced Technologies for Communications (ATC)
event_location: Hanoi, Vietnam
event_dates: 12-14 October 2016
event_type: conference
refereed: TRUE
citation:   Pham, Duy Hung and Tran, Quang Vinh and Ngo, Trung Dung  (2016) An Online Local Boundary Detection and Classification Algorithm for Networked Multi-Robot Systems.  In: the 2016 International Conference Advanced Technologies for Communications (ATC), 12-14 October 2016, Hanoi, Vietnam.