Concepedia

Depth Estimation For Manipulation

Depth Estimation for Manipulation is a computational framework that enables robotic systems to infer precise three-dimensional spatial relationships between objects and effectors by integrating sensory data with task-oriented priors to support accurate physical interaction.

32

Publications

1.7K

Citations

99

Authors

39

Institutions

Publications per year

2017–2026

12

Parents

Publications

32

RGB-D object recognition and pose estimation based on pre-trained convolutional neural network features

Max Schwarz, Hannes Schulz, Sven Behnke · 2015 · 321 citations

, , +16

Clear Grasp: 3D Shape Estimation of Transparent Objects for Manipulation

Shreeyak S. Sajjan, Matthew R. Moore, Mike Pan et al. · 2020 · 258 citations

, , +17

Multi-finger gestural interaction with 3d volumetric displays

Tovi Grossman, Daniel Wigdor, Ravin Balakrishnan · 2004 · 169 citations

, , +16

Manipulator grabbing position detection with information fusion of color image and depth image using deep learning

Du Jiang, Gongfa Li, Ying Sun et al. · Journal of Ambient Intelligence and Humanized Computing · 2021 · 138 citations

, , +15

High-accuracy 3D sensing for mobile manipulation: Improving object detection and door opening

Morgan Quigley, Siddharth Batra, Stephen Jay Gould et al. · 2009 · 91 citations

, , +15

1–5 of 32

Authors

99

  1. TG
    Tovi Grossman

    Autodesk (Canada), Canada

    3 publications · 202 citations

    3

    h-index

  2. RB
    Ravin Balakrishnan

    University of Toronto, Canada

    3 publications · 202 citations

    3

    h-index

  3. DW
    Daniel Wigdor

    University of Toronto, Canada

    3 publications · 202 citations

    3

    h-index

  4. NP
    Nikos Papanikolopoulos

    University of Minnesota, United States

    2 publications · 58 citations

    2

    h-index

  5. SS
    Shuran Song

    Columbia University, United States

    2 publications · 278 citations

    2

    h-index

1–5 of 99

Institutions

39

  1. University of Toronto

    Toronto, Canada

    3 h-index

    9 publications

    606 citations

  2. Universitat Politècnica de Catalunya

    Barcelona, Spain

    2 h-index

    7 publications

    245 citations

  3. University of Minnesota

    Minneapolis, United States

    2 h-index

    5 publications

    115 citations

  4. Institut de Robòtica i Informàtica Industrial

    Barcelona, Spain

    2 h-index

    7 publications

    245 citations

  5. Stanford University

    Stanford, United States

    2 h-index

    9 publications

    675 citations

  6. Google (United States)

    Mountain View, United States

    1 h-index

    3 publications

    774 citations

  7. Indian Institute of Technology Bombay

    Mumbai, India

    1 h-index

    2 publications

    30 citations

  8. Czech Academy of Sciences, Institute of Computer Science

    Prague, Czechia

    1 h-index

    1 publications

    56 citations

1–8 of 39

Venues

  1. IEEE Transactions on Robotics and Automation

    2 publications · 71 citations

    2

    h-index

  2. Intelligent Service Robotics

    1 publications · 35 citations

    1

    h-index

  3. ACM Transactions on Graphics

    TOG · 1 publications · 23 citations

    1

    h-index

  4. 1

    h-index

  5. Perception & Psychophysics

    1 publications · 10 citations

    1

    h-index

1–5