| dc.contributor.advisor |
Jovan Popovic |
en_US |
| dc.contributor.author |
Silva, Marco da |
en_US |
| dc.contributor.author |
Abe, Yeuhi |
en_US |
| dc.contributor.author |
Popovic, Jovan |
en_US |
| dc.contributor.other |
Computer Graphics |
en_US |
| dc.date.accessioned |
2008-01-16T13:45:10Z |
|
| dc.date.available |
2008-01-16T13:45:10Z |
|
| dc.date.issued |
2008-01-15 |
en_US |
| dc.identifier.uri |
http://hdl.handle.net/1721.1/40091 |
|
| dc.description.abstract |
Many data-driven animation techniques are capable of producing high quality motions of human characters. Few techniques, however, are capable of generating motions that are consistent with physically simulated environments. Physically simulated characters, in contrast, are automatically consistent with the environment, but their motionsare often unnatural because they are difficult to control. We present a model-predictive controller that yields natural motions by guiding simulated humans toward real motion data. During simulation, the predictive component of the controller solves a quadratic program to compute the forces for a short window of time into the future. These forces are then applied by a low-gain proportional-derivative component, which makes minor adjustments until the next planning cycle. The controller is fast enough for interactive systems such as games and training simulations. It requires no precomputation and little manual tuning. The controller is resilient to mismatches between the character dynamics and the input motion, which allows it to track motion capture data even where the real dynamics are not known precisely. The same principled formulation can generate natural walks, runs, and jumps in a number of different physically simulated surroundings. |
en_US |
| dc.description.provenance |
Submitted by CSAIL Importer (publications-dspace@csail.mit.edu) on 2008-01-16T13:45:09Z
No. of bitstreams: 1
eg08Final.mp4: 5818248 bytes, checksum: 2f06875120622136976be11be2f46b56 (MD5) |
en |
| dc.description.provenance |
Made available in DSpace on 2008-01-16T13:45:10Z (GMT). No. of bitstreams: 1
eg08Final.mp4: 5818248 bytes, checksum: 2f06875120622136976be11be2f46b56 (MD5)
Previous issue date: 2008-01-15 |
en |
| dc.format.extent |
N/A |
en_US |
| dc.relation |
Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory |
en_US |
| dc.relation |
|
en_US |
| dc.subject |
Computer Graphics |
en_US |
| dc.subject |
Three Dimensional Graphics and Realism |
en_US |
| dc.subject |
Animation |
en_US |
| dc.title |
Simulation of Human Motion Data using Short-Horizon Model-Predictive Control |
en_US |
