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20222026
most citedTowards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning

6 citations · 12 across the 15 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.RO2024★ 1 cited

ClearDepth: Enhanced Stereo Perception of Transparent Objects for Robotic Manipulation

Kaixin Bai, Huajian Zeng, Lei Zhang +4

Transparent object depth perception poses a challenge in everyday life and logistics, primarily due to the inability of standard 3D sensors to accurately capture depth on transpare…

cs.CV2024

Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation

Kaixin Bai, Lei Zhang, Zhaopeng Chen +2

Despite the substantial progress in deep learning, its adoption in industrial robotics projects remains limited, primarily due to challenges in data acquisition and labeling. Previ…

cs.RO2024★ 2 cited

ContactDexNet: Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping

Lei Zhang, Kaixin Bai, Guowen Huang +4

The deep learning models has significantly advanced dexterous manipulation techniques for multi-fingered hand grasping. However, the contact information-guided grasping in cluttere…

cs.RO2024

ToolEENet: Tool Affordance 6D Pose Estimation

Yunlong Wang, Lei Zhang, Yuyang Tu +4

The exploration of robotic dexterous hands utilizing tools has recently attracted considerable attention. A significant challenge in this field is the precise awareness of a tool's…

cs.RO2024

A Collision-Aware Cable Grasping Method in Cluttered Environment

Lei Zhang, Kaixin Bai, Qiang Li +2

We introduce a Cable Grasping-Convolutional Neural Network designed to facilitate robust cable grasping in cluttered environments. Utilizing physics simulations, we generate an ext…