Robots Avoid Potential Failures through Experience-based Probabilistic Planning

Melis Kapotoglu, Cagatay Koc, Sanem Sariel

2015

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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