activity
20232026
most citedGrasp as You Say: Language-guided Dexterous Grasp Generation

4 citations · 9 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

ContactDP: Contact-Guided Diffusion Policy for Tight Insertion Tasks

Chengyi Xing, Shaoxiong Yao, Diego Romeres +1

High-precision connector insertion remains challenging for robotic systems due to tight mechanical tolerances, partial observability during contact, and multimodal uncertainty aris…

cs.RO2026

DynamicManip: Enabling Dynamic Manipulation from a Single Static Demonstration

Haoran Liao, Pengyue Wang, Shuoyu Chen +10

Dynamic manipulation is a critical capability for robots operating in complex and dynamic environments, where robots must interact with objects that are moving or require rapid adj…

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

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.RO2024

Whisker-Inspired Tactile Sensing: A Sim2Real Approach for Precise Underwater Contact Tracking

Hao Li, Chengyi Xing, Saad Khan +2

Aquatic mammals, such as pinnipeds, utilize their whiskers to detect and discriminate objects and analyze water movements, inspiring the development of robotic whiskers for sensing…

cs.RO2024★ 1 cited

Navigation and 3D Surface Reconstruction from Passive Whisker Sensing

Michael A. Lin, Hao Li, Chengyi Xing +1

Whiskers provide a way to sense surfaces in the immediate environment without disturbing it. In this paper we present a method for using highly flexible, curved, passive whiskers m…

cs.RO2024★ 4 cited

Grasp as You Say: Language-guided Dexterous Grasp Generation

Yi-Lin Wei, Jian-Jian Jiang, Chengyi Xing +5

This paper explores a novel task "Dexterous Grasp as You Say" (DexGYS), enabling robots to perform dexterous grasping based on human commands expressed in natural language. However…

cs.CV2024

Single-View Scene Point Cloud Human Grasp Generation

Yan-Kang Wang, Chengyi Xing, Yi-Lin Wei +2

In this work, we explore a novel task of generating human grasps based on single-view scene point clouds, which more accurately mirrors the typical real-world situation of observin…

cs.SD2023★ 4 cited

MuseCoco: Generating Symbolic Music from Text

Peiling Lu, Xin Xu, Chenfei Kang +4

Generating music from text descriptions is a user-friendly mode since the text is a relatively easy interface for user engagement. While some approaches utilize texts to control mu…