Aoran Mei

2 accepted papers

2026

GIL-3D: U-Shaped Diffusion Transformers for Generalizable 3D Imitation Learning

Xiyue Wang, Aoran Mei, Linzhi Wu, Zhongxue Gan, Guo-Niu Zhu

RA-L 2026

Imitation learning with 3D vision effectively alleviates the impact of variations in lighting, background, and texture. It exhibits superior robustness compared to 2D-based methods. However, existing 3D imitation learning methods often suffer from performance degradation as the task horizon increase

Cited by 0 Source ↗Scholar ↗

2024

ReplanVLM: Replanning Robotic Tasks With Visual Language Models

Aoran Mei, Guo-Niu Zhu, Huaxiang Zhang, Zhongxue Gan

RA-L 2024

Large language models (LLMs) have gained increasing popularity in robotic task planning due to their exceptional abilities in text analytics and generation, as well as their broad knowledge of the world. However, they fall short in decoding visual cues. LLMs have limited direct perception of the wor

Cited by 54 Source ↗Scholar ↗