Jie Tan, Zhaoming Xie, Byron Boots, Karen Liu. 2016. Simulation-Based Design of Dynamic Controllers for Humanoid Balancing. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2016.

we propose a complete system that automatically designs a humanoid robotic controller that succeeds on tasks in the real world with a very small number of real world experiments.

[Project    Paper    Video]

Alexander Clegg, Jie Tan, Greg Turk, Karen Liu. 2015. Animating Human Dressing. ACM Transactions on Graphics 33(4), SIGGRAPH 2014.

We present a technique to synthesize human dressing by controlling a human character to put on an article of simulated clothing.

[Project    Paper    Video]

Jie Tan, Yuting Gu, Karen Liu, Greg Turk. 2014. Learning Bicycle Stunts. ACM Transactions on Graphics 33(4), SIGGRAPH 2014.

We apply reinforcement learning to find the optimal policies that allows a human character to perform bicycle stunts in a physically simulated environment.

[Project    Paper    Supplementary Doc    BibTeX    Video]

Jie Tan, Greg Turk, Karen Liu. 2012. Soft Body Locomotion. ACM Transactions on Graphics 31(4), SIGGRAPH 2012.

We present a physically-based system to simulate the locomotion of soft body characters without skeletons. To control the locomotion, we formulate and solve a quadratic program with complementary conditions (QPCC) to plan the muscle contraction and the contact forces simultaneously.

[Project    Paper    Supplementary Doc    BibTeX    Video]

Jie Tan, Yuting Gu, Greg Turk, Karen Liu. 2011. Articulated Swimming Creatures. ACM Transactions on Graphics 30(4), SIGGRAPH 2011.

We present a general approach to creating realistic swimming behavior for a given articulated creature body. We simulate the simultaneous two-way coupling between the fluid and the creature and apply numerical optimization to find the most efficient swimming gait for the animal.

[Project    Paper    BibTeX    Video]

Jie Tan, Karen Liu, Greg Turk. 2011. Stable Proportional-Derivative Controllers. IEEE Computer Graphics and Applications, 31(4), 2011.

We reformulate the traditional PD controller by taking into account the character's positions and velocities in the next time step, which allows arbitrarily high gains, even at large time steps.

[Project    Paper    BibTeX    Video]

Jie Tan, Xubo Yang. 2009. Physically-based Fluid Animation: A Survey. Science In China Series F: Information Science, 52(5), 2009.

We give an comprehensive survey on physically-based fluid animation research.

[Paper    BibTeX]

Jie Tan, Xubo Yang, Xin Zhao, Zhanxin Yang. 2008. Fluid Animation with Multilayer Grids. ACM SIGGRAPH/Eurographics Symposium of Computer Animation Poster, 2008.

We propose a multi-layer grid structure to numerically solve the Navier-Stokes equations, which enables combining advantages of various discretizations, catching the multi-scale behavior and optimizing the computational resources.

[Paper    BibTeX    Video]