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Conference Paper: Motion planning and synthesis of human-like characters in constrained environments

TitleMotion planning and synthesis of human-like characters in constrained environments
Authors
Issue Date2009
Citation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009, v. 5884 LNCS, p. 138-145 How to Cite?
AbstractWe give an overview of our recent work on generating naturally-looking human motion in constrained environments with multiple obstacles. This includes a whole-body motion planning algorithm for high DOF human-like characters. The planning problem is decomposed into a sequence of low dimensional sub-problems. We use a constrained coordination scheme to solve the sub-problems in an incremental manner and a local path refinement algorithm to compute collision-free paths in tight spaces and satisfy the statically stable constraint on CoM. We also present a hybrid algorithm to generate plausible motion by combing the motion computed by our planner with mocap data. We demonstrate the performance of our algorithm on a 40 DOF human-like character and generate efficient motion strategies for object placement, bending, walking, and lifting in complex environments. © Springer-Verlag 2009.
Persistent Identifierhttp://hdl.handle.net/10722/206248
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorZhang, Liangjun-
dc.contributor.authorPan, Jia-
dc.contributor.authorManocha, Dinesh-
dc.date.accessioned2014-10-22T01:25:31Z-
dc.date.available2014-10-22T01:25:31Z-
dc.date.issued2009-
dc.identifier.citationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2009, v. 5884 LNCS, p. 138-145-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/206248-
dc.description.abstractWe give an overview of our recent work on generating naturally-looking human motion in constrained environments with multiple obstacles. This includes a whole-body motion planning algorithm for high DOF human-like characters. The planning problem is decomposed into a sequence of low dimensional sub-problems. We use a constrained coordination scheme to solve the sub-problems in an incremental manner and a local path refinement algorithm to compute collision-free paths in tight spaces and satisfy the statically stable constraint on CoM. We also present a hybrid algorithm to generate plausible motion by combing the motion computed by our planner with mocap data. We demonstrate the performance of our algorithm on a 40 DOF human-like character and generate efficient motion strategies for object placement, bending, walking, and lifting in complex environments. © Springer-Verlag 2009.-
dc.languageeng-
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)-
dc.titleMotion planning and synthesis of human-like characters in constrained environments-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-10347-6_13-
dc.identifier.scopuseid_2-s2.0-78650685325-
dc.identifier.volume5884 LNCS-
dc.identifier.spage138-
dc.identifier.epage145-
dc.identifier.eissn1611-3349-

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