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An Online Local Boundary Detection and Classification Algorithm for Networked Multi-Robot Systems

Duy Hung Pham and Quang Vinh Tran and Trung Dung Ngo (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.

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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.

Item Type:Conference or Workshop Item (Paper)
Subjects:Electronics and Communications
Electronics and Communications > Electronics and Computer Engineering
Divisions:Faculty of Electronics and Telecommunications (FET)
ID Code:1878
Deposited By: Duy Hung Pham
Deposited On:27 Oct 2016 07:09
Last Modified:27 Oct 2016 07:09

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