Concepedia

Learning-based Grasp Pose Estimation

Learning-Based Grasp Pose Estimation is a methodological framework within grasp pose estimation that leverages data-driven models, typically trained on large datasets, to autonomously learn feature representations and mapping functions distinguishing optimal grasp configurations from sensory inputs.

23

Publications

940

Citations

90

Authors

33

Institutions

Publications per year

2017–2026

21

Parents

Publications

23

SE-ResUNet: A Novel Robotic Grasp Detection Method

Sheng Yu, Di‐Hua Zhai, Yuanqing Xia et al. · IEEE Robotics and Automation Letters · 2022 · 145 citations

, , +15

A vision-based robotic grasping system using deep learning for 3D object recognition and pose estimation

Jincheng Yu, Kaijian Weng, Guoyuan Liang · 2013 · 77 citations

, , +17

Generating Grasp Poses for a High-DOF Gripper Using Neural Networks

Min Liu, Zherong Pan, Kai Xu et al. · 2019 · 71 citations

, , +17

Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation

Yiming Li, Tao Kong, Ruihang Chu et al. · 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 2021 · 67 citations

, , +17

Robust Hand Pose Estimation during the Interaction with an Unknown Object

Chiho Choi, Sang Ho Yoon, Chin-Ning Chen et al. · 2017 · 66 citations

, , +15

1–5 of 23

Authors

90

  1. ZW
    Zhengtuo Wang

    Zhejiang University, China

    2 publications · 53 citations

    2

    h-index

  2. FF
    Fang Fang

    Southeast University, China

    2 publications · 44 citations

    2

    h-index

  3. IC
    I‐Ming Chen

    Nanyang Technological University, Singapore

    2 publications · 52 citations

    2

    h-index

  4. YX
    Yuetong Xu

    Zhejiang University, China

    2 publications · 53 citations

    2

    h-index

  5. BZ
    Bo Zhou

    Southeast University, China

    2 publications · 44 citations

    2

    h-index

1–5 of 90

Institutions

33

  1. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    3 h-index

    5 publications

    203 citations

  2. Southeast University

    Nanjing, China

    2 h-index

    12 publications

    286 citations

  3. Chinese Academy of Sciences

    Beijing, China

    2 h-index

    6 publications

    432 citations

  4. Zhejiang University

    Hangzhou, China

    2 h-index

    12 publications

    318 citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    2 h-index

    3 publications

    101 citations

  6. Nanyang Technological University

    Singapore, Singapore

    2 h-index

    7 publications

    137 citations

  7. University of Bologna

    Bologna, Italy

    1 h-index

    2 publications

    24 citations

  8. Shandong Institute of Automation

    Jinan, China

    1 h-index

    3 publications

    201 citations

1–8 of 33

Venues

  1. Journal of Intelligent & Robotic Systems

    2 publications · 44 citations

    2

    h-index

  2. IEEE Robotics and Automation Letters

    2 publications · 157 citations

    2

    h-index

  3. Robotics and Autonomous Systems

    2 publications · 75 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5