73 citations · 305 across the 49 of their papers we have counts for
5 papers · 1 filter
RealDiff: Bridging Real-World Gap in Robot Manipulation via Depth Diffusion
Xiujian Liang, Jiacheng Liu, Mingyang Sun +3
Robot manipulation in the real world is fundamentally constrained by the visual sim2real gap, where depth observations collected in simulation fail to reflect the complex noise pat…
L1 Sample Flow for Efficient Visuomotor Learning
Weixi Song, Zhetao Chen, Tao Xu +6
Denoising-based models, such as diffusion and flow matching, have been a critical component of robotic manipulation for their strong distribution-fitting and scaling capacity. Conc…
Executable Analytic Concepts as the Missing Link Between VLM Insight and Precise Manipulation
Mingyang Sun, Jiude Wei, Qichen He +3
Enabling robots to perform precise and generalized manipulation in unstructured environments remains a fundamental challenge in embodied AI. While Vision-Language Models (VLMs) hav…
Digital Gene: Learning about the Physical World through Analytic Concepts
Jianhua Sun, Cewu Lu
Reviewing the progress in artificial intelligence over the past decade, various significant advances (e.g. object detection, image generation, large language models) have enabled A…
Physically Ground Commonsense Knowledge for Articulated Object Manipulation with Analytic Concepts
Jiude Wei, Yuxuan Li, Cewu Lu +1
We humans rely on a wide range of commonsense knowledge to interact with an extensive number and categories of objects in the physical world. Likewise, such commonsense knowledge i…