CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
research
An effective strategy of real-time vision-based control for a Stewart platform
Authors
Víctor Barcons Xixons
Josep Maria Rossell Garriga
Josep Rubió Massegú
Jesús Vicente Rodrigo
Publication date
1 January 2018
Publisher
Doi
Cite
Abstract
© 2018 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 worksA Stewart platform is a kind of parallel robot which can be used for a wide variety of technological and industrial applications. In this paper, a Stewart platform designed and assembled at the Universitat Polit`ecnica de Catalunya (UPC) by our research group is presented. The main objective is to overcome the enormous difficulties that arise when a real-time vision-based control of a fast moving object placed on these mechanisms is required. In addition, a description of its geometric characteristics, the calibration process, together with an illustrative experiment to demonstrate the good behavior of the platform is given.Postprint (author's final draft
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
UPCommons
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:upcommons.upc.edu:2117/114...
Last time updated on 17/04/2020
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1109%2Ficit.2018.8...
Last time updated on 10/08/2021
UPCommons. Portal del coneixement obert de la UPC
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:upcommons.upc.edu:2117/114...
Last time updated on 21/05/2018