activity
20232026
most citedASGrasp: Generalizable Transparent Object Reconstruction and 6-DoF Grasp Detection from RGB-D Active Stereo Camera

21 citations · 27 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.RO2026

DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation

Xiongfeng Peng, Jiaqian Yu, Dingzhe Li +8

In dynamic environments such as warehouses, hospitals, and homes, robots must seamlessly transition between gross motion and precise manipulations to complete complex tasks. Howeve…

cs.RO2025

A Dataset and Benchmark for Robotic Cloth Unfolding Grasp Selection: The ICRA 2024 Cloth Competition

Victor-Louis De Gusseme, Thomas Lips, Remko Proesmans +59

Robotic cloth manipulation suffers from a lack of standardized benchmarks and shared datasets for evaluating and comparing different approaches. To address this, we created a bench…

cs.RO2025★ 1 cited

TLA: Tactile-Language-Action Model for Contact-Rich Manipulation

Peng Hao, Chaofan Zhang, Dingzhe Li +4

Significant progress has been made in vision-language models. However, language-conditioned robotic manipulation for contact-rich tasks remains underexplored, particularly in terms…

cs.RO2024

EHC-MM: Embodied Holistic Control for Mobile Manipulation

Jiawen Wang, Yixiang Jin, Jun Shi +5

Mobile manipulation typically entails the base for mobility, the arm for accurate manipulation, and the camera for perception. The principle of Distant Mobility, Close Grasping(DMC…

cs.RO2024★ 21 cited

ASGrasp: Generalizable Transparent Object Reconstruction and 6-DoF Grasp Detection from RGB-D Active Stereo Camera

Jun Shi, Yong A, Yixiang Jin +4

In this paper, we tackle the problem of grasping transparent and specular objects. This issue holds importance, yet it remains unsolved within the field of robotics due to failure…

cs.RO2024

What Foundation Models can Bring for Robot Learning in Manipulation : A Survey

Dingzhe Li, Yixiang Jin, Yuhao Sun +11

The realization of universal robots is an ultimate goal of researchers. However, a key hurdle in achieving this goal lies in the robots' ability to manipulate objects in their unst…

cs.RO2023★ 4 cited

RobotGPT: Robot Manipulation Learning from ChatGPT

Yixiang Jin, Dingzhe Li, Yong A +5

We present RobotGPT, an innovative decision framework for robotic manipulation that prioritizes stability and safety. The execution code generated by ChatGPT cannot guarantee the s…