Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Precomputing avatar behavior from human motion data
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Geostatistical motion interpolation
ACM SIGGRAPH 2005 Papers
Responsive characters from motion fragments
ACM SIGGRAPH 2007 papers
Near-optimal character animation with continuous control
ACM SIGGRAPH 2007 papers
Simulating competitive interactions using singly captured motions
Proceedings of the 2007 ACM symposium on Virtual reality software and technology
Wrestle Alone: Creating Tangled Motions of Multiple Avatars from Individually Captured Motions
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
Simulating interactions of avatars in high dimensional state space
Proceedings of the 2008 symposium on Interactive 3D graphics and games
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It is difficult to create scenes where multiple characters densely interact with each other. Manually creating the motions of characters is time consuming due to the correlation of the movements between the characters. Capturing the motions of multiple characters is also difficult as it requires a huge amount of post-processing of the data. In this paper, we explain the methods we have proposed to simulate close interactions of characters based on singly captured motions. We propose methods to (1) control characters intelligently to cooperatively / competitively interact with the other characters, and (2) generate movements that include close interactions such as tangling the segments with the others by taking into account the topological relationship of the characters.