3 citations · 3 across the 7 of their papers we have counts for
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cs.RO2026
ObjDream: Guiding Vision-Language-Action Models with Object-Level Understanding and Future State Prediction
Huailiang Ma, Yuxuan Li, Ziyi Zhao +7
Vision-language-action (VLA) models have emerged as a powerful paradigm for robotic manipulation, enabling robots to generate actions from visual observations and language instruct…
cs.RO2025
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…
cs.RO2024
Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects
Jianhua Sun, Yuxuan Li, Longfei Xu +3
Human cognition can leverage fundamental conceptual knowledge, like geometric and kinematic ones, to appropriately perceive, comprehend and interact with novel objects. Motivated b…