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Real-time control of physically based simulations using gentle forces
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Source International Conference on Computer Graphics and Interactive Techniques archive
ACM SIGGRAPH Asia 2008 papers table of contents
Singapore
SESSION: Physically-based animation table of contents
Article No. 163  
Year of Publication: 2008
ISSN:0730-0301
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Authors
Jernej Barbič  Massachusetts Institute of Technology
Jovan Popović  Massachusetts Institute of Technology
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 44,   Downloads (12 Months): 332,   Citation Count: 3
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ABSTRACT

Recent advances have brought real-time physically based simulation within reach, but simulations are still difficult to control in real time. We present interactive simulations of passive systems such as deformable solids or fluids that are not only fast, but also directable: they follow given input trajectories while simultaneously reacting to user input and other unexpected disturbances. We achieve such directability using a real-time controller that runs in tandem with a real-time physically based simulation. To avoid stiff and over-controlled systems where the natural dynamics are overpowered, the injection of control forces has to be minimized. This search for gentle forces can be made tractable in real-time by linearizing the system dynamics around the input trajectory, and then using a time-varying linear quadratic regulator to build the controller. We show examples of controlled complex deformable solids and fluids, demonstrating that our approach generates a requested fixed outcome for reasonable user inputs, while simultaneously providing runtime motion variety.


REFERENCES

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Li, R.-C., and Bai, Z. 2005. Structure preserving model reduction using a Krylov subspace projection formulation. Comm. Math. Sci. 3, 2, 179--199.
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Sharon, D., and van de Panne, M. 2005. Synthesis of controllers for sylized planar bipedal walking. In International Conference on Robotics and Automation (ICRA), 2387--2392.
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Stengel, R. F. 1994. Optimal Control and Estimation. Dover Publications, New York.
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Wooten, W. L., and Hodgins, J. K. 2000. Simulating leaping, tumbling, landing and balancing humans. International Conference on Robotics and Automation (ICRA), 656--662.
 
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Collaborative Colleagues:
Jernej Barbič: colleagues
Jovan Popović: colleagues