Abstract | ||
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This paper presents a generic approach to find optimal postures, including contact positions, for manipulation tasks. It can be used in either the preparation for a task, or the evaluation of the feasibility of a task during planning stages. With such an approach, an animator can control a virtual character from a high level by just specifying a task, such as moving an object along a desired path to a desired position; the animator does not need to manually find suitable postures for the task. For each task, an optimization problem is solved, which considers not only geometric and kinematic constraints, but also force and moment constraints. The optimized postures allow the virtual character to apply manipulation forces as strongly as possible, and meanwhile to avoid foot slipping. Moreover, potential perturbation forces can be taken into account in the optimization to make postures more robust. The realism of our approach is demonstrated with different types of manipulation tasks. |
Year | DOI | Venue |
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2012 | 10.2312/SCA/SCA12/155-164 | Symposium on Computer Animation 2004 |
Keywords | Field | DocType |
task-driven posture optimization,moment constraint,manipulation force,generic approach,virtual character,kinematic constraint,contact position,optimization problem,manipulation task,different type,high level,animation,motion capture | Slipping,Computer vision,Motion capture,Mesh animation,Kinematics,Computer graphics (images),Computer science,Motion transfer,Artificial intelligence,Animation,Optimization problem | Conference |
ISBN | Citations | PageRank |
978-3-905674-37-8 | 4 | 0.43 |
References | Authors | |
19 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mingxing Liu | 1 | 8 | 0.83 |
Alain Micaelli | 2 | 98 | 14.12 |
Paul Evrard | 3 | 127 | 8.59 |
Adrien Escande | 4 | 273 | 22.91 |