@inproceedings{cbbe10fc7f8245e4a20f4a3aa7f95ce6,
title = "Bili{\c s}sel robotlarda eylem g{\"o}zetimi",
abstract = "Cognitive robots need to detect execution failures in runtime to prevent potential damages to their environments or objects in their interest. For this reason, robots monitor the execution to detect any inconsistencies. In this paper, we propose a hybrid monitoring system that processes different sensory data from different sources by using both model-based and model-free methods. Our proposed system continually monitors formulas, represented in Metric Temporal Logic (MTL), related to each action in order to detect failures. These formulas are analysed temporally according to the sensory data gathered during the execution to decide on a failure.",
keywords = "Execution Monitoring, Failure Detection, Metric Temporal Logic",
author = "Melis Kapotoglu and Cagatay Koc and Sanem Sariel and Gokhan Ince",
year = "2014",
doi = "10.1109/SIU.2014.6830689",
language = "T{\"u}rk{\c c}e",
isbn = "9781479948741",
series = "2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings",
publisher = "IEEE Computer Society",
pages = "2154--2157",
booktitle = "2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings",
address = "United States",
note = "2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 ; Conference date: 23-04-2014 Through 25-04-2014",
}