1 citations · 1 across the 3 of their papers we have counts for
4 papers
U-DiT Policy: U-shaped Diffusion Transformers for Robotic Manipulation
Linzhi Wu, Aoran Mei, Xiyue Wang +2
Diffusion-based methods have been acknowledged as a powerful paradigm for end-to-end visuomotor control in robotics. Most existing approaches adopt a Diffusion Policy in U-Net arch…
SO-DETR: Leveraging Dual-Domain Features and Knowledge Distillation for Small Object Detection
Huaxiang Zhang, Hao Zhang, Aoran Mei +2
Detection Transformer-based methods have achieved significant advancements in general object detection. However, challenges remain in effectively detecting small objects. One key d…
ReplanVLM: Replanning Robotic Tasks with Visual Language Models
Aoran Mei, Guo-Niu Zhu, Huaxiang Zhang +1
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…
GameVLM: A Decision-making Framework for Robotic Task Planning Based on Visual Language Models and Zero-sum Games
Aoran Mei, Jianhua Wang, Guo-Niu Zhu +1
With their prominent scene understanding and reasoning capabilities, pre-trained visual-language models (VLMs) such as GPT-4V have attracted increasing attention in robotic task pl…