Yunzhi Huang

PIDiff: Integrating a High-Performance Transformer Into Diffusion Models for Robust and Efficient Imitation Learning

Imitation learning is a critical approach for robots to acquire skills by mimicking human behavior. However, traditional imitation learning frameworks often exhibit poor action prediction accuracy and low robustness when handling complex tasks. To tackle these limitations, we propose the PIDiff poli