Optimization of Central Pattern Generator based Quadruped Animation using Time Series with Genetic Algorithm
DOI:
https://doi.org/10.30537/sjcms.v4i2.613Keywords:
Central Pattern Generator, Quadruped Animation, Time Series, Genetic AlgorithmAbstract
Generating believable quadruped motion is a challenging task for application like Games, Virtual Reality and Augmented Reality, where runtime user interaction is needed. In order to successfully generate the believable motion, the runtime or dynamic adjustment to motion gaits is essential. As the use of Central Pattern Generator (CPG) is vital in generating range of dynamic quadruped motions, the optimization is crucial for smooth motion curves. We use the Genetic Algorithm (GA) based tuning technique to optimize the motion curves generated through CPG. The quadruped motion generated through CPG is applied on Skeletal joints and then optimized through fitting the artificial motion parameters tuned using genetic algorithm. The results generated shows much smooth and stable quadruped motion with believable gait patterns.
Downloads
Downloads
Published
Issue
Section
License
The SJCMS holds the rights of all the published papers. Authors are required to transfer copyrights to journal to make sure that the paper is solely published in SJCMS, however, authors and readers can freely read, download, copy, distribute, print, search, or link to the full texts of its articles and to use them for any other lawful purpose.
The SJCMS is licensed under Creative Commons Attribution-NonCommercial 4.0 International License.