[ Project Paper
]We presented an optimal feedback controller for a virtual character to follow a reference motion under physical perturbations and changes in the environment by replanning long-term goals and adjusting the motion timing on-the-fly.
Yuting Ye
yuting at cc.gatech.edu
Ph.D. Candidate
Computer Graphics Group
College of Computing
Georgia Institute of Technology
Ph.D. Candidate
Computer Graphics Group
College of Computing
Georgia Institute of Technology
Yuting Ye, C. Karen Liu. 2010. Optimal Feedback Control for Character Animation Using an Abstract Model. ACM Trans. Graph. (SIGGRAPH) 29(4).
[ Project Paper ]
We presented an optimal feedback controller for a virtual character to follow a reference motion under physical perturbations and changes in the environment by replanning long-term goals and adjusting the motion timing on-the-fly.
[ Project Paper
]We presented an optimal feedback controller for a virtual character to follow a reference motion under physical perturbations and changes in the environment by replanning long-term goals and adjusting the motion timing on-the-fly.
Yuting Ye, C. Karen Liu. 2010. Synthesis of Responsive Motion Using a Dynamic Model. Computer Graphics Forum (Eurographics) 29(2).
[ Project Paper ]
We presented a nonlinear dimensionality reduction model for learning responsive behaviors from very few motion capture examples. Our model can synthesize physically plausible motions of a character responding to unexpected perturbations.
We presented a nonlinear dimensionality reduction model for learning responsive behaviors from very few motion capture examples. Our model can synthesize physically plausible motions of a character responding to unexpected perturbations.
Sumit Jain, Yuting Ye, C. Karen Liu. 2009. Optimization-Based Interactive Motion Synthesis. ACM Trans. Graph. (TOG), 28(1).
[ Project Paper ]
We presented a physics-based approach to synthesizing motions of a responsive virtual character in a dynamically varying environment. This framework encodes high-level kinematic control strategies as objectives and constraints of an optimization problem formulated at every time step.
]We presented a physics-based approach to synthesizing motions of a responsive virtual character in a dynamically varying environment. This framework encodes high-level kinematic control strategies as objectives and constraints of an optimization problem formulated at every time step.
Yuting Ye, C. Karen Liu. 2008. Animating Responsive Characters with Dynamic Constraints in Near-Unactuated Coordinates. ACM Trans. Graph. (SIGGRAPH Asia) 27(5).
[ Project Paper ]
We developed a novel algorithm to animate physically responsive virtual characters by combining kinematic pose control with dynamic constraints in the joint actuation space.
]We developed a novel algorithm to animate physically responsive virtual characters by combining kinematic pose control with dynamic constraints in the joint actuation space.