In a groundbreaking advancement at U2IS, ENSTA Paris, researchers have introduced a novel deep learning-based model aimed at enhancing the motion imitation capabilities of humanoid robotic systems. This model, outlined in a pre-published paper on arXiv, represents a significant stride towards enabling robots to closely replicate human actions and movements in real-time, potentially revolutionizing various
