Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Identifying physical properties of deformable objects by using particle filters
 
conference paper

Identifying physical properties of deformable objects by using particle filters

Burion, Steve
•
Conti, Francois
•
Petrovskaya, Anna
Show more
2008
2008 Ieee International Conference On Robotics And Automation, Vols 1-9
IEEE International Conference on Robotics and Automation

This paper presents a new approach for estimating physical properties of deformable models from experimental measurements. In contrast to most previous work, we introduce a new method based on particle filters which identifies the different stiffness properties for spring-based models. This approach addresses some important limitations encountered with gradient descent techniques which often converge towards ill solutions or remain fixed in local minima conditions.

  • Details
  • Metrics
Type
conference paper
DOI
10.1109/ROBOT.2008.4543353
Web of Science ID

WOS:000258095000176

Author(s)
Burion, Steve
Conti, Francois
Petrovskaya, Anna
Baur, Charles  
Khatib, Oussama
Date Issued

2008

Publisher

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa

Published in
2008 Ieee International Conference On Robotics And Automation, Vols 1-9
Series title/Series vol.

Ieee International Conference On Robotics And Automation

Start page

1112

End page

1117

Subjects

simulation

•

real-time

•

deformable bodies

•

model estimation

•

particle filter

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSRO  
Event nameEvent placeEvent date
IEEE International Conference on Robotics and Automation

Pasadena, CA

May 19-23, 2008

Available on Infoscience
November 30, 2010
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/61160
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés