Electronics 2017, 6(2), 32; https://doi.org/10.3390/electronics6020032
A Probabilistic Approach to RFID-Based Localization for Human-Robot Interaction in Social Robotics
†
Instituto Superior Técnico/Institute for Systems and Robotics, Universidade de Lisboa, Lisbon 1049-001, Portugal
†
This paper is an extended version of our paper published in Robot 2015: Second Iberian Robotics Conference, held in Lisbon, Portugal, November 19–21, 2015.
*
Author to whom correspondence should be addressed.
Academic Editors: Michael Sheng and Ali Shemshadi
Received: 7 January 2017 / Revised: 29 March 2017 / Accepted: 4 April 2017 / Published: 17 April 2017
(This article belongs to the Special Issue RFID Systems and Applications)
Abstract
This paper describes a novel strategy to Radio-Frequency Identification (RFID) tag detection for human– robot interaction (HRI) purposes. The anisotropic detection pattern of the RFID reader antenna is combined with a probabilistic algorithm to obtain a coarse angular position relative to the RFID reader that can be used, for example, for behavioral control based on proxemics areas around the robot. The success rate achieved is suitable for HRI purposes. The paper presents experimental results on a detection model for the reader. View Full-TextKeywords:
RFID; tag position estimate; human–robot interaction; social robotics
▼
Figures
Graphical abstract
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Sequeira, J.S.; Gameiro, D. A Probabilistic Approach to RFID-Based Localization for Human-Robot Interaction in Social Robotics
. Electronics 2017, 6, 32.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
Related Articles
Article Metrics
Comments
[Return to top]
Electronics
EISSN 2079-9292
Published by MDPI AG, Basel, Switzerland
RSS
E-Mail Table of Contents Alert