---
abstract: |-
  Unexpected events and not modeled properties of the robot environment are some of
  the challenges presented by situated robotics research field. Collision avoidance is a basic security
  requirement and this paper proposes a probabilistic approach called Bayesian Programming, which
  aims to deal with the uncertainty, imprecision and incompleteness of the information handled to
  solve the obstacle avoidance problem. Some examples illustrate the process of embodying the
  programmer preliminary knowledge into a Bayesian program and experimental results of these
  examples implementation in an electrical vehicle are described and commented. A video illustration
  of the developed experiments can be found at http://www.inrialpes.fr/sharp/pub/laplace
altloc:
  - http://www-laplace.imag.fr/publications/Rayons/Koike03.pdf
chapter: ~
commentary: ~
commref: ~
confdates: 2003
conference: 'IJCAI 2003, Workshop on Reasoning with Uncertainty in Robotics'
confloc: 'Acapulco, Mexico'
contact_email: ~
creators_id: []
creators_name:
  - family: Koike
    given: C
    honourific: ''
    lineage: ''
  - family: Pradalier
    given: C
    honourific: ''
    lineage: ''
  - family: Bessiere
    given: P
    honourific: ''
    lineage: ''
  - family: Mazer
    given: E
    honourific: ''
    lineage: ''
date: 2003
date_type: published
datestamp: 2004-08-10
department: ~
dir: disk0/00/00/37/56
edit_lock_since: ~
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edit_lock_user: ~
editors_id: []
editors_name: []
eprint_status: archive
eprintid: 3756
fileinfo: /style/images/fileicons/application_pdf.png;/3756/1/Koike03.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: 'Bayesian programming, Obstacle avoidance, Command fusion'
lastmod: 2011-03-11 08:55:39
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: ~
pubdom: TRUE
publication: ~
publisher: ~
refereed: FALSE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:53:18
subjects:
  - comp-sci-robot
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Obstacle Avoidance and Proscriptive Bayesian Programming
type: confpaper
userid: 4357
volume: ~
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