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20242026
most citedGrasp as You Say: Language-guided Dexterous Grasp Generation

4 citations · 7 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025

ProEdit: Inversion-based Editing From Prompts Done Right

Zhi Ouyang, Dian Zheng, Xiao-Ming Wu +4

Inversion-based visual editing provides an effective and training-free way to edit an image or a video based on user instructions. Existing methods typically inject source image in…

cs.RO2025

Decomposed Object Manipulation via Dual-Actor Policy

Bin Fan, Jian-Jian Jiang, Zhuohao Li +5

Object manipulation, which focuses on learning to perform tasks on similar parts across different types of objects, can be divided into an approaching stage and a manipulation stag…

cs.RO2025

ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks

Kaijun Wang, Liqin Lu, Mingyu Liu +7

Language-guided long-horizon mobile manipulation has long been a grand challenge in embodied semantic reasoning, generalizable manipulation, and adaptive locomotion. Three fundamen…

cs.RO2025

Rethinking Bimanual Robotic Manipulation: Learning with Decoupled Interaction Framework

Jian-Jian Jiang, Xiao-Ming Wu, Yi-Xiang He +4

Bimanual robotic manipulation is an emerging and critical topic in the robotics community. Previous works primarily rely on integrated control models that take the perceptions and…

cs.RO2025

AffordDexGrasp: Open-set Language-guided Dexterous Grasp with Generalizable-Instructive Affordance

Yi-Lin Wei, Mu Lin, Yuhao Lin +4

Language-guided robot dexterous generation enables robots to grasp and manipulate objects based on human commands. However, previous data-driven methods are hard to understand inte…