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Conference Paper Radio signal mapping with collective intelligent robots in unstructured environments
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Authors
Hyun-ja Im, Chang-Eun Lee, Young-Jo Cho, Sung-Hoon Kim
Issue Date
2013-10
Citation
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) 2013, pp.309-312
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/URAI.2013.6677373
Abstract
In collective intelligent robots, communication capability is considered as a key feature to decide how to design the collaboration policy. A cooperative routing robot system is suggested to maintain the communication capability in between robots and an algorithm to establish a seamless global communication is proposed. Generating the radio signal map among robots is suggested to prevent loss of communication in different radio environments. The proposed algorithm is composed of two steps. At the first step, Extended Kalman Filter is designed to estimate radio environments. Then, the communication link a radio signal map is generated using k-NN(Nearest Neighbors) algorithm. Results of the proposed approach are shown through simulation. © 2013 IEEE.
KSP Keywords
Collective intelligent, Communication link, Global communication, Intelligent Robot, K-Nearest Neighbor(KNN), Radio Signal, Signal mapping, Unstructured environments, cooperative routing, extended kalman filter, robot system