This site has been permanently archived. This is a static copy provided by the University of Southampton.
---
abstract: |-
We present in this paper a Bayesian CAD system
for robotic applications. We address the problem of the
propagation of geometric uncertainties and how esian
CAD system for robotic applications. We address the
problem of the propagation of geometric uncertainties
and how to take this propagation into account when
solving inverse problems. We describe the methodology
we use to represent and handle uncertainties using
probability distributions on the system's parameters
and sensor measurements. It may be seen as a
generalization of constraint-based approaches where we
express a constraint as a probability distribution instead
of a simple equality or inequality. Appropriate
numerical algorithms used to apply this methodology
are also described. Using an example, we show how
to apply our approach by providing simulation results
using our CAD system.
altloc: []
chapter: ~
commentary: ~
commref: ~
confdates: 2000
conference: IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS 2000)
confloc: 'Takamatsu, Japan'
contact_email: ~
creators_id: []
creators_name:
- family: Mekhnacha
given: K
honourific: Dr
lineage: ''
- family: Mazer
given: E
honourific: Dr
lineage: ''
- family: Bessiere
given: P
honourific: Dr
lineage: ''
date: 2000
date_type: published
datestamp: 2004-08-10
department: ~
dir: disk0/00/00/37/38
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name: []
eprint_status: archive
eprintid: 3738
fileinfo: /style/images/fileicons/application_pdf.png;/3738/1/mekhnacha00a.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: CAD Bayesian robotics
lastmod: 2011-03-11 08:55:39
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 1597-1604
pubdom: TRUE
publication: ~
publisher: ~
refereed: FALSE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:53:08
subjects:
- comp-sci-robot
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: A Robotic CAD System using a Bayesian Framework
type: confpaper
userid: 4357
volume: 3