Jia Qu

Domain Randomization-free Sim-to-Real : An Attention-Augmented Memory Approach for Robotic Tasks

The sim-to-real gap, a long-standing challenge in the field of robotics, has garnered significant attention. Essentially, it is important to learn robust representation models that can be seamlessly applied in both simulation and real world. Traditional approaches like domain randomization have demo…