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

4 citations · 7 across the 18 of their papers we have counts for

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Showing 2025 · cs.ROShow all

8 papers · 2 filters

cs.RO2025

CycleManip: Enabling Cyclic Task Manipulation via Effective Historical Perception and Understanding

Yi-Lin Wei, Haoran Liao, Yuhao Lin +4

In this paper, we explore an important yet underexplored task in robot manipulation: cycle-based manipulation, where robots need to perform cyclic or repetitive actions with an exp…

cs.RO2025

ZeroDexGrasp: Zero-Shot Task-Oriented Dexterous Grasp Synthesis with Prompt-Based Multi-Stage Semantic Reasoning

Juntao Jian, Yi-Lin Wei, Chengjie Mou +5

Task-oriented dexterous grasping holds broad application prospects in robotic manipulation and human-object interaction. However, most existing methods still struggle to generalize…

cs.RO2025

OmniDexGrasp: Generalizable Dexterous Grasping via Foundation Model and Force Feedback

Yi-Lin Wei, Zhexi Luo, Yuhao Lin +4

Enabling robots to dexterously grasp and manipulate objects based on human commands is a promising direction in robotics. However, existing approaches are challenging to generalize…

cs.RO2025

TypeTele: Releasing Dexterity in Teleoperation by Dexterous Manipulation Types

Yuhao Lin, Yi-Lin Wei, Haoran Liao +6

Dexterous teleoperation plays a crucial role in robotic manipulation for real-world data collection and remote robot control. Previous dexterous teleoperation mostly relies on hand…

cs.RO2025

iManip: Skill-Incremental Learning for Robotic Manipulation

Zexin Zheng, Jia-Feng Cai, Xiao-Ming Wu +3

The development of a generalist agent with adaptive multiple manipulation skills has been a long-standing goal in the robotics community. In this paper, we explore a crucial task,…

cs.RO2025

TacCap: A Wearable FBG-Based Tactile Sensor for Seamless Human-to-Robot Skill Transfer

Chengyi Xing, Hao Li, Yi-Lin Wei +6

Tactile sensing is essential for dexterous manipulation, yet large-scale human demonstration datasets lack tactile feedback, limiting their effectiveness in skill transfer to robot…

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…