activity
20222024
most citedTowards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning

6 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2024

Atomic cluster expansion interatomic potential for defects and thermodynamics of Cu-W system

Jiahao Pan, Huiqun Cheng, Gaosheng Yan +3

The unique properties exhibited in immiscible metals, such as excellent strength, hardness, and radiation-damage tolerance, have stimulated the interest of many researchers. As a t…

cs.CV20232 cited

HumanTOMATO: Text-aligned Whole-body Motion Generation

Shunlin Lu, Ling-Hao Chen, Ailing Zeng +4

This work targets a novel text-driven whole-body motion generation task, which takes a given textual description as input and aims at generating high-quality, diverse, and coherent…

cs.CV20231 cited

Neural Interactive Keypoint Detection

Jie Yang, Ailing Zeng, Feng Li +3

This work proposes an end-to-end neural interactive keypoint detection framework named Click-Pose, which can significantly reduce more than 10 times labeling costs of 2D keypoint a…

cs.RO20236 cited

Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning

Lei Zhang, Kaixin Bai, Zhaopeng Chen +2

Precise robotic grasping of several novel objects is a huge challenge in manufacturing, automation, and logistics. Most of the current methods for model-free grasping are disadvant…

cs.RO2022

Maximizing the Use of Environmental Constraints: A Pushing-Based Hybrid Position/Force Assembly Skill for Contact-Rich Tasks

Yunlei Shi, Zhaopeng Chen, Lin Cong +6

The need for contact-rich tasks is rapidly growing in modern manufacturing settings. However, few traditional robotic assembly skills consider environmental constraints during task…