---
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
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eprint_status: archive
eprintid: 3738
fileinfo: /style/images/fileicons/application_pdf.png;/3738/1/mekhnacha00a.pdf
full_text_status: public
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ispublished: pub
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keywords: CAD Bayesian robotics
lastmod: 2011-03-11 08:55:39
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 1597-1604
pubdom: TRUE
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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: ~
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thesistype: ~
title: A Robotic CAD System using a Bayesian Framework
type: confpaper
userid: 4357
volume: 3