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

Liangjun Zhang, Jia Pan, Dinesh Manocha

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationMotion in Games
Subtitle of host publicationSecond International Workshop, MIG 2009, Proceedings
PublisherSpringer Verlag
Pages138-145
Volume5884 LNCS
ISBN (Print)3642103464, 9783642103469
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2nd International Workshop on Motion in Games, MIG 2009 - Zeist, Netherlands
Duration: 21 Nov 200924 Nov 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5884 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Motion in Games, MIG 2009
PlaceNetherlands
CityZeist
Period21/11/0924/11/09

Fingerprint

Dive into the research topics of 'Motion planning and synthesis of human-like characters in constrained environments'. Together they form a unique fingerprint.

Cite this