Learning force fields for limb control in character animation

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2003.

Bibliographic Details
Main Author: Grimes, Matthew Koichi, 1977-
Other Authors: Bruce M. Blumberg.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2011
Subjects:
Online Access:http://hdl.handle.net/1721.1/61546
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author Grimes, Matthew Koichi, 1977-
author2 Bruce M. Blumberg.
author_facet Bruce M. Blumberg.
Grimes, Matthew Koichi, 1977-
author_sort Grimes, Matthew Koichi, 1977-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2003.
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spelling mit-1721.1/615462019-04-11T13:37:00Z Learning force fields for limb control in character animation Grimes, Matthew Koichi, 1977- Bruce M. Blumberg. Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences. Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences. Architecture. Program In Media Arts and Sciences. Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2003. Includes bibliographical references (p. 67-72). This work applies vector-field-based limb control to physically simulated character animation. Vector fields of joint torques, defined over joint angle space, have been shown in the neuroscience literature to be able to generate simple reaching motions in two dimensions when linearly combined with time-varying weights. In this work, three-dimensional versions of such "basis" fields generate a similar diversity of realistic motions, while maintaining tractable control through a concise parameter space. A decomposition algorithm is presented that takes a set of limb motions and generates a set of torque fields, whose various linear combinations can generate each member of the input set, and other plausible motions. Unlike other motion extrapolators, the system extrapolates torque control programs instead of the motion paths themselves, retaining Newtonian physical correctness. by Matthew Koichi Grimes. S.M. 2011-03-07T15:12:43Z 2011-03-07T15:12:43Z 2003 2003 Thesis http://hdl.handle.net/1721.1/61546 53364598 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 72 p. application/pdf Massachusetts Institute of Technology
spellingShingle Architecture. Program In Media Arts and Sciences.
Grimes, Matthew Koichi, 1977-
Learning force fields for limb control in character animation
title Learning force fields for limb control in character animation
title_full Learning force fields for limb control in character animation
title_fullStr Learning force fields for limb control in character animation
title_full_unstemmed Learning force fields for limb control in character animation
title_short Learning force fields for limb control in character animation
title_sort learning force fields for limb control in character animation
topic Architecture. Program In Media Arts and Sciences.
url http://hdl.handle.net/1721.1/61546
work_keys_str_mv AT grimesmatthewkoichi1977 learningforcefieldsforlimbcontrolincharacteranimation