Data-Driven Architecture for Encoding Information in Robot Kinematics

The author presents a data-driven control architecture to encode specific information in the kinematics of robots and avatars, focusing on emotions. The approach involves real-time dynamic adjustments using AI tools to facilitate information encoding.