Greg Chance
An assistive robot to support dressing-strategies for planning and error handling
Chance, Greg; Chance, Gregory; Camilleri, Antonella; Winstone, Benjamin; Caleb-Solly, Praminda; Dogramadzi, Sanja
Authors
Gregory Chance
Antonella Camilleri
Benjamin Winstone
Praminda Caleb-Solly
Sanja Dogramadzi Sanja.Dogramadzi@uwe.ac.uk
Professor in Medical Robotics
Abstract
© 2016 IEEE. Assistive robots are emerging to address a social need due to changing demographic trends such as an ageing population. The main emphasis is to offer independence to those in need and to fill a potential labour gap in response to the increasing demand for caregiving. This paper presents work undertaken as part of a dressing task using a compliant robotic arm on a mannequin. Several strategies are explored on how to undertake this task with minimal complexity and a mix of sensors. A Vicon tracking system is used to determine the arm position of the mannequin for trajectory planning by means of waypoints. Methods of failure detection were explored through torque feedback and sensor tag data. A fixed vocabulary of recognised speech commands was implemented allowing the user to successfully correct detected dressing errors. This work indicates that low cost sensors and simple HRI strategies, without complex learning algorithms, could be used successfully in a robot assisted dressing task.
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) |
Start Date | Jun 26, 2016 |
End Date | Jun 29, 2016 |
Acceptance Date | Apr 30, 2016 |
Publication Date | Jul 26, 2016 |
Deposit Date | Jun 1, 2016 |
Publicly Available Date | Aug 10, 2016 |
Journal | Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics |
Print ISSN | 2155-1782 |
Peer Reviewed | Peer Reviewed |
Volume | 2016-July |
Pages | 774-780 |
Book Title | 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) |
ISBN | 9781509032877 |
DOI | https://doi.org/10.1109/BIOROB.2016.7523721 |
Keywords | rehabilitation and assistive robotics, human-machine interaction |
Public URL | https://uwe-repository.worktribe.com/output/909492 |
Publisher URL | http://dx.doi.org/10.1109/BIOROB.2016.7523721 |
Additional Information | Additional Information : © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Title of Conference or Conference Proceedings : 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) |
Contract Date | Jun 1, 2016 |
Files
biorob2016paperGIC.pdf
(864 Kb)
PDF
You might also like
Towards tactile sensing active capsule endoscopy
(2018)
Thesis
Toward Bio-Inspired Tactile Sensing Capsule Endoscopy for Detection of Submucosal Tumors
(2016)
Journal Article
Single motor actuated peristaltic wave generator for a soft bodied worm robot
(2016)
Presentation / Conference Contribution
TACTIP - Tactile fingertip device, challenges in reduction of size to ready for robot hand integration
(2012)
Presentation / Conference Contribution
TACTIP - Tactile fingertip device, texture analysis through optical tracking of skin features
(2013)
Presentation / Conference Contribution
Downloadable Citations
About UWE Bristol Research Repository
Administrator e-mail: repository@uwe.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search