Planning biped locomotion using motion capture data and probabilistic roadmaps = 동작 포착 데이터 및 확률적 로드맵을 이용한 이족 이동 동작 계획

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 328
  • Download : 0
Typical high-level directives for locomotion of human-like characters are useful for interactive games and simulations as well as for off-line production animation. In this thesis, we present a new scheme for planning natural-looking locomotion of a biped figure with three high-level directives to facilitate rapid motion prototyping and task-level motion generation for interactive applications: The first directive is to generate the motion of a character from a given start configuration to a goal configuration with a set of live-captured motion clips, the second one is to guide the character through an ordered set of configurations in sequence, and the last one is to make the character follow a user-specified trajectory within a tolerance. Based on a novel combination of probabilistic path planning and hierarchical displacement mapping, our scheme consists of three parts: roadmap construction, roadmap search, and motion generation. We randomly sample a set of valid footholds of the biped figure from the environment to construct a directed graph, called a roadmap, which guides the locomotion of the figure. Every edge of the roadmap is associated with a live-captured motion clip. Augmenting the roadmap with a posture transition graph, we traverse it to obtain the sequence of input motion clips and that of target footprints in accordance with a given high-level directive. The target footprints are further refined to yield a better resulting motion. They are also post-processed under interactive user guides. Finally, we adapt the motion sequence to the constraints specified by the footprint sequence to generate a desired locomotion. Provided with a rich set of motion clips, our scheme enables a human-like character to move over uneven terrain with a variety of motions such as running on flat terrain, walking over stepping stones, and jumping over a moat, walking up/down a stairway and hurdling an obstacle.
Shin, Sung-Yongresearcher신성용researcher
한국과학기술원 : 전산학전공,
Issue Date
181170/325007 / 000985377

학위논문(박사) - 한국과학기술원 : 전산학전공, 2003.2, [ vi, 80 p. ]


Motion editing and adaptation; Human Navigation; Biped Locomotion; Animation; Probabilistic path planning; 확률적 경로 계획; 동작 편집 및 재적용; 휴먼 내비게이션; 이족 이동 동작; 애니메이션

Appears in Collection
Files in This Item
There are no files associated with this item.


  • mendeley


rss_1.0 rss_2.0 atom_1.0