Manipulator Perception

Manipulator Perception is a robotic perception framework that specifically enables robot manipulators to interpret and understand their operational environment through sensory data integration and object-state estimation for precise interaction.

41

Publications

1.8K

Citations

144

Authors

53

Institutions

Publications per year

2017–2026

7

Authors

144

  1. PC
    Peter Corke

    Queensland University of Technology, Australia

    2 publications · 227 citations

    2

    h-index

  2. BU
    Ben Upcroft

    Queensland University of Technology, Australia

    2 publications · 227 citations

    2

    h-index

  3. FZ
    Fangyi Zhang

    Queensland University of Technology, Australia

    2 publications · 227 citations

    2

    h-index

  4. JL
    Jürgen Leitner

    Queensland University of Technology, Australia

    2 publications · 227 citations

    2

    h-index

  5. MM
    Michael Milford

    Queensland University of Technology, Australia

    2 publications · 227 citations

    2

    h-index

1–5 of 144

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 263 citations

    2

    h-index

  2. Procedia CIRP

    1 publications · 41 citations

    1

    h-index

  3. 1

    h-index

  4. 1

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  5. Advanced Robotics

    1 publications · 14 citations

    1

    h-index

1–5