Published under the name of “Force-Based Evolutionary Computation Approach for Automatic Skeletal Motion Learning in Human Animation” within the framework of CYBERWORLDS 2018 in Singapore, we apply machine learning algorithms to generate realistic motion sequences applied in a humanoid skeleton.

These sequences are obtained through a completely autonomous intelligent and iterative process where the skeletons dynamically learn the optimal values ​​of force to implement in each bone to generate the movement routines.

All information is accessible in the publication itself.