Identifying physical properties of deformable objects by using particle filters
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...
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| creator | Burion, S. Conti, F. Petrovskaya, A. Baur, C. Khatib, O. |
| description | 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. |
| doi_str_mv | 10.1109/ROBOT.2008.4543353 |
| format | Conference Proceeding |
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| issn | 1050-4729 2577-087X |
| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computational modeling Computer simulation deformable bodies Deformable models Engines Finite element methods Force measurement model estimation Neural networks particle filter Particle filters Physics real-time simulation USA Councils |
| title | Identifying physical properties of deformable objects by using particle filters |
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