TY  - CONF
ID  - SisLab1878
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1878/
A1  - Pham, Duy Hung
A1  - Tran, Quang Vinh
A1  - Ngo, Trung Dung
Y1  - 2016/10/12/
N2  - 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.
TI  - An Online Local Boundary Detection and Classification Algorithm for Networked Multi-Robot Systems
SP  - 253
M2  - Hanoi, Vietnam
AV  - none
EP  - 258
T2  - the 2016 International Conference Advanced Technologies for Communications (ATC)
ER  -