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책임교수 |
조경은 |
논문명 |
Automated Space Classification for Network Robots in Ubiquitous Environments |
논문종류 |
SCI |
제1저자 |
Jiwon Choi |
교신저자 |
Kyungeun CHO |
공동저자 |
Seoungjae Cho, Phuong Chu, Hoang Vu, Kyhyun Um |
Impact Factor |
Impact Factor Coming in 2015 |
개제학술지명 |
JOURNAL OF SENSORS |
Keyword |
Robot, Ubiquitous Environments |
게재일 |
2014 년 12 월 |
Network robots provide services to users in smart spaces while being connected to ubiquitous instruments through wireless networks in ubiquitous environments. For more effective behavior planning of network robots, it is necessary to reduce the state space by recognizing a smart space as a set of spaces. This paper proposes a space classification algorithm based on automatic graph generation and naive Bayes classification. The proposed algorithm first filters spaces in order of priority using automatically generated graphs, thereby minimizing the number of tasks that need to be predefined by a human. The filtered spaces then induce the final space classification result using naive Bayes space classification. The results of experiments conducted using virtual agents in virtual environments indicate that the performance of the proposed algorithm is better than that of conventional naive Bayes space classification.