Drecon implementation: This is a reimplementation of the Drecon paper for user controlled physically-simulated characters using Unity-ML Agents

The difference between this and most other physically simulated controllers is that here the program actually controls every muscle in order to match the target pose. It's not using IK to determine where a limb should be and moving it there, the neural net backing this has to learn how to "flex" all of its muscles to achieve the target pose.

https://github.com/AliBharwani/Drecon/

Video with details: https://youtu.be/dqIwWVMw7HM

#motionmatching #animation #ml