A Novel Parsing-based Approach for Verification of Hierarchical Plans. Barták, R., Ondrčková, S., Maillard, A., Behnke, G., & Bercher, P. In Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020), pages 118–125, 2020. IEEE.
Paper doi abstract bibtex 1 download Hierarchical Task Networks were proposed as a method to describe plans by decomposition of tasks to sub-tasks until primitive tasks, actions, are obtained. Valid plans – sequences of actions – must adhere both to causal dependencies between the actions and to the structure given by the decomposition of the goal task. Plan verification aims at finding if a given plan is valid, that is, if it is causally consistent and it can be obtained by decomposition of some task. The paper describes a novel parsing-based approach for hierarchical plan verification that is orders of magnitude faster than existing methods.
@InProceedings{Bartak2020ParsingApproach,
author = {Roman Bart{\'a}k and Simona Ondr\v{c}kov\'{a} and Adrien Maillard and Gregor Behnke and Pascal Bercher},
title = {A Novel Parsing-based Approach for Verification of Hierarchical Plans},
booktitle = {Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2020)},
year = {2020},
publisher = {IEEE},
pages = {118--125},
doi = {10.1109/ICTAI50040.2020.00029},
abstract = {Hierarchical Task Networks were proposed as a method to describe plans by decomposition of tasks to sub-tasks until primitive tasks, actions, are obtained. Valid plans -- sequences of actions -- must adhere both to causal dependencies between the actions and to the structure given by the decomposition of the goal task. Plan verification aims at finding if a given plan is valid, that is, if it is causally consistent and it can be obtained by decomposition of some task. The paper describes a novel parsing-based approach for hierarchical plan verification that is orders of magnitude faster than existing methods.},
url_Paper = {https://bercher.net/publications/2020/Bartak2020HTNVerification.pdf},
keywords = {conference}
}
Downloads: 1
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