Genetic Programming Evolution of Controllers for 3-D Character Animation   [GP]

by

GRITZ, L. and Hahn, J., K.

Literature search on Evolutionary ComputationBBase ©1999-2013, Rasmus K. Ursem
     Home · Search · Adv. search · Authors · Login · Add entries   Webmaster
Note to authors: Please submit your bibliography and contact information - online papers are more frequently cited.

Info: Genetic Programming 1997: Proceedings of the Second Annual Conference (Conference proceedings), 1997, p. 139-146
Keywords:Genetic Programming, Genetic Algorithms
Abstract:
The dominant paradigm for 3-D character animation requires an animator to specify the values for all degrees of freedom of an articulated figure at key frames. Specifying motion that is physically believable and biologically plausible is a tedious practice requiring great skill. We use evolutionary techniques (specifically Genetic Programming) [GP] as a means of controller synthesis for character animation. Controllers which drive a dynamic simulation of the character are evolved using the goals of the animation as an objective function, resulting in physically plausible motion. We discuss the development of objective functions used to guide the controller evolution, making reusable skill controllers, and comparisons of the convergence rates for different parameters of the evolutionary runs.
Notes:
GP-97 S-expression per degree of freedom in each joint in the character. Joints controlled by proportional derivative (PD) controllers. Aninmated desk lamp Luxo, Jr. L*xo 4 links and 3 internally controllable degrees of freedom. Robust = reusable. Randomly generated test cases
URL(s):(G)zipped postscript

Review item:

Mark as doublet (will be reviewed)

Print entry



BibTex:
@InProceedings{Gritz:1997:GPec3da,
  author =       "Larry Gritz and James K. Hahn",
  title =        "Genetic Programming Evolution of Controllers for 3-{D}
                 Character Animation",
  booktitle =    "Genetic Programming 1997: Proceedings of the Second
                 Annual Conference",
  editor =       "John R. Koza and Kalyanmoy Deb and Marco Dorigo and
                 David B. Fogel and Max Garzon and Hitoshi Iba and Rick
                 L. Riolo",
  year =         "1997",
  month =        "13-16 " # jul,
  keywords =     "Genetic Programming, Genetic Algorithms",
  pages =        "139--146",
  address =      "Stanford University, CA, USA",
  publisher_address = "San Francisco, CA, USA",
  publisher =    "Morgan Kaufmann",
  URL =          "http://www.seas.gwu.edu/student/gritz/papers/gritz-gp97/gritz-gp97.ps.gz",
  abstract =     "The dominant paradigm for 3-D character animation
                 requires an animator to specify the values for all
                 degrees of freedom of an articulated figure at key
                 frames. Specifying motion that is physically believable
                 and biologically plausible is a tedious practice
                 requiring great skill. We use evolutionary techniques
                 (specifically Genetic Programming) as a means of
                 controller synthesis for character animation.
                 Controllers which drive a dynamic simulation of the
                 character are evolved using the goals of the animation
                 as an objective function, resulting in physically
                 plausible motion. We discuss the development of
                 objective functions used to guide the controller
                 evolution, making reusable skill controllers, and
                 comparisons of the convergence rates for different
                 parameters of the evolutionary runs.",
  notes =        "GP-97 S-expression per degree of freedom in each joint
                 in the character. Joints controlled by proportional
                 derivative (PD) controllers. Aninmated desk lamp Luxo,
                 Jr. L*xo 4 links and 3 internally controllable degrees
                 of freedom. Robust = reusable. Randomly generated test
                 cases",
}