Concepedia

Contact-rich Manipulation

Contact-Rich Manipulation is a category of robot manipulation characterized by the execution of dexterous tasks involving frequent, intentional, and often complex interactions between the manipulator and its environment, distinguished from simpler manipulation by the reliance on sustained and dynamic contact sequences rather than point-to-point motion.

56

Publications

2.6K

Citations

205

Authors

61

Institutions

Publications per year

2017–2026

53

Parents

Publications

56

Learning contact-rich manipulation skills with guided policy search

Sergey Levine, Nolan Wagener, Pieter Abbeel · 2015 · 280 citations

, , +17

Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones

Suraj Nair, Michael Luo, Krishnan Srinivasan et al. · IEEE Robotics and Automation Letters · 2021 · 197 citations

, , +17

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost

Henry Zhu, Abhishek Gupta, Aravind Rajeswaran et al. · 2019 · 172 citations

, , +17

Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep-Reinforcement-Learning Approach

Applied Sciences · 2020 · 170 citations · Full text

, , +17

Learning Force Control for Contact-Rich Manipulation Tasks With Rigid Position-Controlled Robots

Cristian C. Beltran-Hernandez, Damien Petit, Ixchel G. Ramírez-Alpizar et al. · IEEE Robotics and Automation Letters · 2020 · 151 citations · Full text

, , +17

1–5 of 56

Authors

205

  1. SL
    Sergey Levine

    University of California, Berkeley, United States

    5 publications · 588 citations

    5

    h-index

  2. MT
    Masayoshi Tomizuka

    University of California, Berkeley, United States

    4 publications · 174 citations

    4

    h-index

  3. YZ
    Yuke Zhu

    Stanford University, United States

    3 publications · 67 citations

    3

    h-index

  4. VK
    Vikash Kumar

    University of Washington, United States

    3 publications · 258 citations

    3

    h-index

  5. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    3 publications · 340 citations

    3

    h-index

1–5 of 205

Institutions

61

  1. University of California, Berkeley

    Berkeley, United States

    9 h-index

    28 publications

    2.2K citations

  2. Stanford University

    Stanford, United States

    6 h-index

    20 publications

    895 citations

  3. Google (United States)

    Mountain View, United States

    6 h-index

    6 publications

    468 citations

  4. The University of Osaka

    Osaka, Japan

    3 h-index

    11 publications

    1.2K citations

  5. National Institute of Advanced Industrial Science and Technology

    Tsukuba, Japan

    3 h-index

    5 publications

    667 citations

  6. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    9 publications

    306 citations

  7. Massachusetts Institute of Technology

    Cambridge, United States

    3 h-index

    9 publications

    704 citations

  8. Siemens (Germany)

    Munich, Germany

    3 h-index

    8 publications

    132 citations

1–8 of 61

Venues

  1. IEEE Robotics and Automation Letters

    17 publications · 964 citations

    15

    h-index

  2. arXiv (Cornell University)

    Repository · 5 publications · 171 citations

    5

    h-index

  3. 2

    h-index

  4. 2022 International Conference on Robotics and Automation (ICRA)

    Conference · 2 publications · 60 citations

    2

    h-index

  5. Applied Sciences

    2 publications · 187 citations

    2

    h-index

1–5