Motion Synthesis Using Style-Editable Inverse Kinematics
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Motion Pattern Encapsulation for Data-Driven Constraint-Based Motion Editing
MIG '09 Proceedings of the 2nd International Workshop on Motion in Games
Integrated Analytic and Linearized Inverse Kinematics for Precise Full Body Interactions
MIG '09 Proceedings of the 2nd International Workshop on Motion in Games
Interactive motion modeling and parameterization by direct demonstration
IVA'10 Proceedings of the 10th international conference on Intelligent virtual agents
Modeling joint synergies to synthesize realistic movements
GW'09 Proceedings of the 8th international conference on Gesture in Embodied Communication and Human-Computer Interaction
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In this paper, we propose a hybrid postural control approach taking advantage of data-driven and goal-oriented methods while overcoming their limitations. In particular, we take advantage of the latent space characterizing a given motion database. We introduce a motion constraint operating in the latent space to benefit from its much smaller dimension compared to the joint space. This allows its transparent integration into a Prioritized Inverse Kinematics framework. If its priority is high the constraint may restrict the solution to lie within the motion database space. We are more interested in the alternate case of an intermediate priority level that channels the postural control through a spatiotemporal pattern representative of the motion database while achieving a broader range of goals. We illustrate this concept with a sparse database of large range full-body reach motions.