A Vision-based Path Planner/Follower for an Assistive Robotics Project

Andrea Cherubini; Giuseppe Oriolo; Francesco Macrì; Fabio Aloise; Febo Cincotti; Donatella Mattia

Research.Publish.Connect.

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

A Vision-based Path Planner/Follower for an Assistive Robotics Project

In Robot Vision - Robot Vision, 77-86, 2007 , Barcelona, Spain

Authors: Andrea Cherubini ¹ ; Giuseppe Oriolo ¹ ; Francesco Macrì ¹ ; Fabio Aloise ² ; Febo Cincotti ² and Donatella Mattia ²

Affiliations: ¹ Università di Roma “La Sapienza”, Italy ; ² Fondazione Santa Lucia IRCCS, Italy

ISBN: 978-972-8865-76-4

Abstract: Assistive technology is an emerging area where robots can be used to help individuals with motor disabilities achieve independence in daily living activities. Mobile robots should be able to autonomously and safely move in the environment (e.g. the user apartment), by accurately solving the self-localization problem and planning efficient paths to the target destination specified by the user. This paper presents a vision-based navigation scheme designed for Sony AIBO, in ASPICE, an assistive robotics project. The navigation scheme is map-based: visual landmarks (white lines and coded squares) are placed in the environment, and the robot utilizes visual data to follow the paths composed by these land-marks, and travel to the required destinations. Performance of this vision-based scheme is shown by experiments and comparison with two previously existing ASPICE navigation modes. Finally, the system is clinically validated, in order to obtain a definitive assessment through patient feedb ack. (More)

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 3.227.0.150

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Cherubini, A.; Oriolo, G.; Macrì, F.; Aloise, F.; Cincotti, F. and Mattia, D. (2007). A Vision-based Path Planner/Follower for an Assistive Robotics Project. In Robot Vision - Robot Vision, (VISAPP 2007) ISBN 978-972-8865-76-4, pages 77-86. DOI: 10.5220/0002068700770086

@conference{robot vision07,
author={Andrea Cherubini. and Giuseppe Oriolo. and Francesco Macrì. and Fabio Aloise. and Febo Cincotti. and Donatella Mattia.},
title={A Vision-based Path Planner/Follower for an Assistive Robotics Project},
booktitle={Robot Vision - Robot Vision, (VISAPP 2007)},
year={2007},
pages={77-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002068700770086},
isbn={978-972-8865-76-4},
}

TY - CONF

JO - Robot Vision - Robot Vision, (VISAPP 2007)
TI - A Vision-based Path Planner/Follower for an Assistive Robotics Project
SN - 978-972-8865-76-4
AU - Cherubini, A.
AU - Oriolo, G.
AU - Macrì, F.
AU - Aloise, F.
AU - Cincotti, F.
AU - Mattia, D.
PY - 2007
SP - 77
EP - 86
DO - 10.5220/0002068700770086