Adaptive character motion synthesis by qualitative approach
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Journal: Proc. of the IADIS Int. Conf. Computer Graphics, Visualization, Computer Vision and Image Processing 2011, Part of the IADIS Multi Conf. on Computer Science and Information Systems 2011, MCCSIS 2011
Adaptive motion synthesis normally involves complicate computation from physical simulation. However some biological researchers believe that the neural system takes little effort in motor control. Instead of planning motion from ground up, living creatures may only maintain or tweak some basic motion pattern for qualitative properties of complicate interaction between body and environment. Inspired by this idea, in this paper, we proposed a new method for adaptive motion synthesis based on the qualitative control theory. Adaptive motion control is achieved through enhancing the structural stability, rather than counteracting perturbations. Compared with current simulation method, our algorithm is more computational efficient and has the potential to be accelerated by GPU. © 2011 IADIS.