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Steve Burion

dblp:97/5597 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
3D vision · 67% Probabilistic and Bayesian machine learning · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision › 3d shape modeling
deformable object modeling		 0.112008
Identifying physical properties of deformable objects by using particle filters · ICRA 2008
Machine learning › Probabilistic and Bayesian machine learning › monte carlo methods › sequential monte carlo
particle filtering		 0.112008
Identifying physical properties of deformable objects by using particle filters · ICRA 2008
Computer vision › 3D vision
physical property estimation		 0.112008
Identifying physical properties of deformable objects by using particle filters · ICRA 2008

Methods — techniques the papers use, named apart from their topics

stiffness identification · 0.1particle filter · 0.1
YearPublicationVenuePosition
2008 Identifying physical properties of deformable objects by using particle filters
abstract
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.
Steve Burion, François Conti, Anna Petrovskaya, Charles Baur, Oussama Khatib
 ICRA1