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Conference Paper: Motion planning and synthesis of human-like characters in constrained environments
Title | Motion planning and synthesis of human-like characters in constrained environments |
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Authors | |
Issue Date | 2009 |
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? |
Abstract | We 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 Identifier | http://hdl.handle.net/10722/206248 |
ISSN | 2023 SCImago Journal Rankings: 0.606 |
DC Field | Value | Language |
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dc.contributor.author | Zhang, Liangjun | - |
dc.contributor.author | Pan, Jia | - |
dc.contributor.author | Manocha, Dinesh | - |
dc.date.accessioned | 2014-10-22T01:25:31Z | - |
dc.date.available | 2014-10-22T01:25:31Z | - |
dc.date.issued | 2009 | - |
dc.identifier.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 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | http://hdl.handle.net/10722/206248 | - |
dc.description.abstract | We 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.language | eng | - |
dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.title | Motion planning and synthesis of human-like characters in constrained environments | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1007/978-3-642-10347-6_13 | - |
dc.identifier.scopus | eid_2-s2.0-78650685325 | - |
dc.identifier.volume | 5884 LNCS | - |
dc.identifier.spage | 138 | - |
dc.identifier.epage | 145 | - |
dc.identifier.eissn | 1611-3349 | - |
dc.identifier.issnl | 0302-9743 | - |