Jen-Wei Wang

12 papers A 1Misc 2Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
AD-NODE: Adaptive Dynamics Learning with Neural ODEs for Mobile Robots Control.
CoRR
Shao-Yi Yu, Jen-Wei Wang, Maya Horii, Vikas Garg, Tarek Zohdi
2025 Misc conf
Learning Visual Servoing for Nonholonomic Mobile Robots with Uncalibrated Cameras.
SAC
Jen-Wei Wang, Daniel Nikovski
2025 — conf
State Representation Learning for Visual Servo Control.
ECC
Jen-Wei Wang, Daniel Nikovski
2023 J jnl
A Simple Approach for General Task-Oriented Picking using Placing constraints.
CoRR
Jen-Wei Wang, Lingfeng Sun, Xinghao Zhu, Qiyang Qian, Masayoshi Tomizuka
2022 J jnl
Robot grasping in dense clutter via view-based experience transfer.
Int. J. Intell. Robotics Appl.
Jen-Wei Wang, Chia-Lien Li, Jian-Lun Chen, Jyh-Jone Lee
2021 — conf
HAEE: Question Classification Using Hierarchical Intra-Attention Enhancement Encoder.
TAAI
Jen-Wei Wang, Kai-Hsiang Chen, Jen-Wei Huang
2021 — conf
OCID-Ref: A 3D Robotic Dataset With Embodied Language For Clutter Scene Grounding.
NAACL-HLT
Ke-Jyun Wang, Yun-Hsuan Liu, Hung-Ting Su, Jen-Wei Wang, Yu-Siang Wang, Winston H. Hsu, Wen-Chin Chen
2021 J jnl
OCID-Ref: A 3D Robotic Dataset with Embodied Language for Clutter Scene Grounding.
CoRR
Ke-Jyun Wang, Yun-Hsuan Liu, Hung-Ting Su, Jen-Wei Wang, Yu-Siang Wang, Winston H. Hsu, Wen-Chin Chen
2021 A conf
ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception.
IROS
Tung-I Chen, Jen-Wei Wang, Winston H. Hsu
2021 J jnl
ODIP: Towards Automatic Adaptation for Object Detection by Interactive Perception.
CoRR
Tung-I Chen, Jen-Wei Wang, Winston H. Hsu
2020 J jnl
A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection.
CoRR
Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu, Jen-Wei Wang, Ya-Liang Chang, Hung-Ting Su, Winston H. Hsu
2020 Misc conf
GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection.
CoRL
Kuang-Yu Jeng, Yueh-Cheng Liu, Zhe Yu Liu, Jen-Wei Wang, Ya-Liang Chang, Hung-Ting Su, Winston H. Hsu