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20232026
most citedDiffusion Models for Robotic Manipulation: A Survey

1 citations · 2 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.RO2025

Human-Interpretable Uncertainty Explanations for Point Cloud Registration

Johannes A. Gaus, Loris Schneider, Yitian Shi +3

In this paper, we address the point cloud registration problem, where well-known methods like ICP fail under uncertainty arising from sensor noise, pose-estimation errors, and part…

cs.RO2025

HOGraspFlow: Taxonomy-Aware Hand-Object Retargeting for Multi-Modal SE(3) Grasp Generation

Yitian Shi, Zicheng Guo, Rosa Wolf +2

We propose Hand-Object\emph{(HO)GraspFlow}, an affordance-centric approach that retargets a single RGB with hand-object interaction (HOI) into multi-modal executable parallel jaw g…

cs.CV2025★ 1 cited

Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments

Di Wen, Lei Qi, Kunyu Peng +9

Despite substantial progress in video understanding, most existing datasets are limited to Earth's gravitational conditions. However, microgravity alters human motion, interactions…

cs.RO2025★ 1 cited

Diffusion Models for Robotic Manipulation: A Survey

Rosa Wolf, Yitian Shi, Sheng Liu +1

Diffusion generative models have demonstrated remarkable success in visual domains such as image and video generation. They have also recently emerged as a promising approach in ro…

cs.RO2025

VISO-Grasp: Vision-Language Informed Spatial Object-centric 6-DoF Active View Planning and Grasping in Clutter and Invisibility

Yitian Shi, Di Wen, Guanqi Chen +5

We propose VISO-Grasp, a novel vision-language-informed system designed to systematically address visibility constraints for grasping in severely occluded environments. By leveragi…