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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2017 Vol.9(2): 102-108 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1120

A Novel Laser-Vision Combined Approach to Indoor Robot Pose Estimation

Juan Li, Paula Tarrío, Hamid Aghajan, Wilfried Philips, and José Ramón Casar
Abstract—The pose of a robot is an essential information for manipulating, scheduling and monitoring tasks. This paper presents a novel system architecture and algorithm for indoor robot pose estimation. Previous robot pose estimation systems have limitations in terms of computational cost, accuracy, price or safety. Therefore, we propose a cheap and easy-to-use solution which needs only one or two laser pointers mounted on the robot pointing vertically towards the ceiling plane and a fixed low-cost camera. The proposed system is suitable for applications that demand very high localization accuracy. It can be potentially used for health care and surveillance applications. The experimental results clearly show that the proposed method is able to achieve high speed and high precision. The average pose estimation error is 14 mm in an area of about 24 m2 and the algorithm runs at 27 Hz.

Index Terms—Robot, pose estimation, localization, laser, camera.

Juan Li, Paula Tarrío, and José Ramón Casar are with Technical University of Madrid, 28040, Spain (e-mail: {li.juan, paula, jramon}@grpss.ssr.upm.es).
Hamid Aghajan and Wilfried Philips are with TELIN-IPI-iMinds, Ghent University, 9000, Belgium (e-mail: {Hamid.Aghajan, Wilfried.Philips}@ugent.be). Hamid Aghajan is also with Ambient Intelligence Research (AIR) Lab, Stanford University, CA, USA.


Cite:Juan Li, Paula Tarrío, Hamid Aghajan, Wilfried Philips, and José Ramón Casar, "A Novel Laser-Vision Combined Approach to Indoor Robot Pose Estimation," International Journal of Computer Theory and Engineering vol. 9, no. 2, pp. 102-108, 2017.

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