most citedFast-in-Slow: A Dual-System Foundation Model Unifying Fast Manipulation within Slow Reasoning

3 citations · 3 across the 6 of their papers we have counts for

collaborators

11 papers

cs.RO2025

ManualVLA: A Unified VLA Model for Chain-of-Thought Manual Generation and Robotic Manipulation

Chenyang Gu, Jiaming Liu, Hao Chen +9

Vision-Language-Action (VLA) models have recently emerged, demonstrating strong generalization in robotic scene understanding and manipulation. However, when confronted with long-h…

cs.RO2025

dVLA: Diffusion Vision-Language-Action Model with Multimodal Chain-of-Thought

Junjie Wen, Minjie Zhu, Jiaming Liu +6

Vision-Language-Action (VLA) models are emerging as a next-generation paradigm for robotics. We introduce dVLA, a diffusion-based VLA that leverages a multimodal chain-of-thought t…

cs.RO2025

MLA: A Multisensory Language-Action Model for Multimodal Understanding and Forecasting in Robotic Manipulation

Zhuoyang Liu, Jiaming Liu, Jiadong Xu +10

Vision-language-action models (VLAs) have shown generalization capabilities in robotic manipulation tasks by inheriting from vision-language models (VLMs) and learning action gener…

cs.RO2025

RwoR: Generating Robot Demonstrations from Human Hand Collection for Policy Learning without Robot

Liang Heng, Xiaoqi Li, Shangqing Mao +9

Recent advancements in imitation learning have shown promising results in robotic manipulation, driven by the availability of high-quality training data. To improve data collection…

cs.RO2025

AC-DiT: Adaptive Coordination Diffusion Transformer for Mobile Manipulation

Sixiang Chen, Jiaming Liu, Siyuan Qian +9

Recently, mobile manipulation has attracted increasing attention for enabling language-conditioned robotic control in household tasks. However, existing methods still face challeng…

cs.RO2025

SR3D: Unleashing Single-view 3D Reconstruction for Transparent and Specular Object Grasping

Mingxu Zhang, Xiaoqi Li, Jiahui Xu +5

Recent advancements in 3D robotic manipulation have improved grasping of everyday objects, but transparent and specular materials remain challenging due to depth sensing limitation…