activity
20202026
most citedGDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection

14 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

X-OP: Cross-Morphology Whole-Body Teleoperation via MPC Retargeting

Jen-Wei Wang, Sarthak Kaingade, Andrea Tagliabue +1

Whole-body teleoperation is essential for scalable robot data collection in loco-manipulation tasks, yet existing approaches relying on exoskeleton suits or multi-camera setups imp…

cs.RO2023★ 2 cited

A Simple Approach for General Task-Oriented Picking using Placing constraints

Jen-Wei Wang, Lingfeng Sun, Xinghao Zhu +2

Pick-and-place is an important manipulation task in domestic or manufacturing applications. There exist many works focusing on grasp detection with high picking success rate but la…

cs.RO2021

ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception

Tung-I Chen, Jen-Wei Wang, Winston H. Hsu

Object detection plays a deep role in visual systems by identifying instances for downstream algorithms. In industrial scenarios, however, a slight change in manufacturing systems…

cs.CL2021★ 2 cited

OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding

Ke-Jyun Wang, Yun-Hsuan Liu, Hung-Ting Su +4

To effectively apply robots in working environments and assist humans, it is essential to develop and evaluate how visual grounding (VG) can affect machine performance on occluded…

cs.RO2020★ 14 cited

GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection

Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu +4

We proposed an end-to-end grasp detection network, Grasp Detection Network (GDN), cooperated with a novel coarse-to-fine (C2F) grasp representation design to detect diverse and acc…