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cs.RO2025
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…
cs.RO2024
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…
cs.RO2024
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…