Inverse Dynamics Filtering for Sampling‐based Motion Control

dc.contributor.authorXie, Kaixiangen_US
dc.contributor.authorKry, Paul G.en_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2021-10-08T07:38:14Z
dc.date.available2021-10-08T07:38:14Z
dc.date.issued2021
dc.description.abstractWe improve the sampling‐based motion control method proposed by Liu et al. using inverse dynamics. To deal with noise in the motion capture we filter the motion data using a Butterworth filter where we choose the cutoff frequency such that the zero‐moment point falls within the support polygon for the greatest number of frames. We discuss how to detect foot contact for foot and ground optimization and inverse dynamics, and we optimize to increase the area of supporting polygon. Sample simulations receive filtered inverse dynamics torques at frames where the ZMP is sufficiently close to the support polygon, which simplifies the problem of finding the PD targets that produce physically valid control matching the target motion. We test our method on different motions and we demonstrate that our method has lower error, higher success rates, and generally produces smoother results.en_US
dc.description.number6
dc.description.sectionheadersArticles
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume40
dc.identifier.doi10.1111/cgf.14274
dc.identifier.issn1467-8659
dc.identifier.pages304-314
dc.identifier.urihttps://doi.org/10.1111/cgf.14274
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14274
dc.publisher© 2021 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectphysics‐based animation
dc.subjectmotion control
dc.subjectcharacter animation
dc.titleInverse Dynamics Filtering for Sampling‐based Motion Controlen_US
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