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Authors: Melis Kapotoglu ; Cagatay Koc and Sanem Sariel

Affiliation: Istanbul Technical University, Turkey

ISBN: 978-989-758-123-6

Keyword(s): Learning-Guided Planning, Probabilistic Planning, Autonomous Robots, Mobile Manipulation.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Autonomous Agents ; Cognitive Robotics ; Control and Supervision Systems ; Informatics in Control, Automation and Robotics ; Mobile Robots and Autonomous Systems ; Perception and Awareness ; Robotics and Automation

Abstract: Robots should avoid potential failure situations to safely execute their actions and to improve their performances. For this purpose, they need to build and use their experience online. We propose online learning-guided planning methods to address this problem. Our method includes an experiential learning process using Inductive Logic Programming (ILP) and a probabilistic planning framework that uses the experience gained by learning for improving task execution performance. We analyze our solution on a case study with an autonomous mobile robot in a multi-object manipulation domain where the objective is maximizing the number of collected objects while avoiding potential failures using experience. Our results indicate that the robot using our adaptive planning strategy ensures safety in task execution and reduces the number of potential failures.

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Paper citation in several formats:
Kapotoglu M., Koc C. and Sariel S. (2015). Robots Avoid Potential Failures through Experience-based Probabilistic Planning.In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-123-6, pages 111-120. DOI: 10.5220/0005548801110120

@conference{icinco15,
author={Melis Kapotoglu and Cagatay Koc and Sanem Sariel},
title={Robots Avoid Potential Failures through Experience-based Probabilistic Planning},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2015},
pages={111-120},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005548801110120},
isbn={978-989-758-123-6},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Robots Avoid Potential Failures through Experience-based Probabilistic Planning
SN - 978-989-758-123-6
AU - Kapotoglu M.
AU - Koc C.
AU - Sariel S.
PY - 2015
SP - 111
EP - 120
DO - 10.5220/0005548801110120

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