Grasp Rectangle Detection

Grasp Rectangle Detection is a computational task in robotic vision that identifies the optimal oriented rectangle in a 2D image representing a stable hand configuration for grasping an object, distinguished from other grasp detection forms by its exclusive use of rectangular bounding primitives to encode grasp poses.

16

Publications

1.6K

Citations

59

Authors

28

Institutions

Publications per year

2017–2026

14

Authors

59

  1. PH
    Panfeng Huang

    Northwestern Polytechnical University, China

    3 publications · 73 citations

    3

    h-index

  2. YL
    Yuanhao Li

    Northwestern Polytechnical University, China

    3 publications · 73 citations

    3

    h-index

  3. XL
    Xuguang Lan

    Xi'an Jiaotong University, China

    2 publications · 249 citations

    2

    h-index

  4. LC
    Lu Chen

    Shanxi University, China

    2 publications · 57 citations

    2

    h-index

  5. GC
    G. C. Nandi

    Indian Institute of Information Technology Allahabad, India

    2 publications · 29 citations

    2

    h-index

1–5 of 59

Venues

  1. 2

    h-index

  2. IEEE/ASME Transactions on Mechatronics

    2 publications · 74 citations

    2

    h-index

  3. Machine Vision and Applications

    1 publications · 14 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 22 citations

    1

    h-index

  5. 1

    h-index

1–5