On Human Inspired Semantic SLAM’s Feasibility

Dominik Maximilián Ramík, Christophe Sabourin, Kurosh Madani

2010

Abstract

Robotic SLAM is attempting to learn robots what human beings do nearly effortlessly: to navigate in an unknown environment and to map it in the same time. In spite of huge advance in this area, nowadays SLAM solutions are not yet ready to enter the real world. In this paper, we observe the state of the art in existing SLAM techniques and identify semantic SLAM as one of prospective directions in robotic mapping research. We position our initial research into this field and propose a human inspired concept of SLAM based on understanding of the scene via its semantic analysis. First simulation results, using a virtual humanoid robot are presented to illustrate our approach.

Paper Citation

in Harvard Style

Ramík D., Sabourin C. and Madani K. (2010). On Human Inspired Semantic SLAM’s Feasibility . In Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2010) ISBN 978-989-8425-03-4, pages 99-108. DOI: 10.5220/0003028600990108

in Bibtex Style

@conference{workshop anniip10,
author={Dominik Maximilián Ramík and Christophe Sabourin and Kurosh Madani},
title={On Human Inspired Semantic SLAM’s Feasibility},
booktitle={Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2010)},
year={2010},
pages={99-108},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003028600990108},
isbn={978-989-8425-03-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: Workshop ANNIIP, (ICINCO 2010)
TI - On Human Inspired Semantic SLAM’s Feasibility
SN - 978-989-8425-03-4
AU - Ramík D.
AU - Sabourin C.
AU - Madani K.
PY - 2010
SP - 99
EP - 108
DO - 10.5220/0003028600990108