Concepedia

Object Property Estimation

Object Property Estimation is a computational framework within tactile perception that enables the inference of intrinsic physical characteristics of objects, such as texture, hardness, and shape, from haptic sensory data through systematic analysis and modeling of tactile interactions.

37

Publications

2.2K

Citations

121

Authors

52

Institutions

Publications per year

2017–2026

12

Parents

Publications

37

Photonics-Based Broadband Microwave Measurement

Shilong Pan, Jianping Yao · Journal of Lightwave Technology · 2016 · 337 citations

, , +13

Shape-independent hardness estimation using deep learning and a GelSight tactile sensor

2017 · 167 citations · Full text

, , +17

Single-Grasp Object Classification and Feature Extraction with Simple Robot Hands and Tactile Sensors

Adam J. Spiers, Minas Liarokapis, Aaron M. Dollar · IEEE Transactions on Haptics · 2016 · 165 citations

, , +17

Shape-independent hardness estimation using deep learning and a GelSight tactile sensor

Wenzhen Yuan, Chenzhuo Zhu, Andrew Owens et al. · DSpace@MIT (Massachusetts Institute of Technology) · 2017 · 165 citations · Full text

, , +17

Physics 101: Learning Physical Object Properties from Unlabeled Videos

Jiajun Wu, Joseph J. Lim, Hongyi Zhang et al. · 2016 · 125 citations · Full text

, , +16

1–5 of 37

Authors

121

  1. WY
    Wenzhen Yuan

    Carnegie Mellon University, United States

    3 publications · 301 citations

    3

    h-index

  2. EH
    Edward H. Adelson

    Massachusetts Institute of Technology, United States

    3 publications · 318 citations

    3

    h-index

  3. RW
    Roland W. Fleming

    Justus-Liebig-Universität Gießen, Germany

    2 publications · 87 citations

    2

    h-index

  4. KK
    Kiyotaka Kushihama

    Ritsumeikan University, Japan

    2 publications · 26 citations

    2

    h-index

  5. PP
    Pierre Payeur

    University of Ottawa, Canada

    2 publications · 39 citations

    2

    h-index

1–5 of 121

Institutions

52

  1. Massachusetts Institute of Technology

    Cambridge, United States

    6 h-index

    17 publications

    1.7K citations

  2. University of Ottawa

    Ottawa, Canada

    4 h-index

    9 publications

    518 citations

  3. Tsinghua University

    Beijing, China

    3 h-index

    4 publications

    396 citations

  4. Cambridge Electronics (United States)

    Cambridge, United States

    3 h-index

    3 publications

    424 citations

  5. University College London

    London, United Kingdom

    3 h-index

    6 publications

    412 citations

  6. University of Electro-Communications

    Tokyo, Japan

    2 h-index

    6 publications

    351 citations

  7. Justus-Liebig-Universität Gießen

    Giessen, Germany

    2 h-index

    7 publications

    418 citations

  8. Ritsumeikan University

    Kyoto, Japan

    2 h-index

    6 publications

    84 citations

1–8 of 52

Venues

  1. Journal of Vision

    2 publications · 122 citations

    2

    h-index

  2. NeuroImage

    2 publications · 55 citations

    2

    h-index

  3. Computers and Electronics in Agriculture

    1 publications · 27 citations

    1

    h-index

  4. Robotics

    1 publications · 13 citations

    1

    h-index

  5. IEEE Transactions on Haptics

    1 publications · 165 citations

    1

    h-index

1–5