@inproceedings{3b0b3d60fe70456d8e8d16e0f6c6b99b,
title = "Diagnosis makes the difference for a successful execution of high-level robot control programs",
abstract = "Faults in action execution and perception that occur at runtime negatively affects the probability that an agent is able to finish a task successfully. There are several techniques such as hand-coded error recovery or diagnosis and repair approaches to deal with this problem. In this paper we present an experimental comparison of the fault tolerance of the popular (CRAM) framework using hand-coded error recovery and an approach using model-based diagnosis. The approaches were evaluated using a simulated robot delivery domain. Experimental results confirm that a control approach using diagnosis is able to significantly increase the success-rate and outperforms hand-coded error strategies.",
author = "Clemens M{\"u}hlbacher and Gerald Steinbauer",
year = "2016",
doi = "10.1007/978-3-319-08338-4_81",
language = "English",
isbn = "9783319083377",
volume = "302",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "1119--1132",
booktitle = "Intelligent Autonomous Systems - Proceedings of the 13th International Conference IAS, 2014",
address = "Germany",
note = "13th International Conference on Intelligent Autonomous Systems, IAS 2014 ; Conference date: 15-07-2014 Through 18-07-2014",
}