Concepedia

Data Augmentation For Robot Learning

Data Augmentation for Robot Learning is a data-efficient robot learning technique that enriches training datasets through domain-specific transformations or synthetic generation, thereby improving model generalization while reducing reliance on large-scale real-world robotic data collection.

80

Publications

3.7K

Citations

606

Authors

120

Institutions

Publications per year

2017–2026

71

Parents

Publications

80

RT-1: Robotics Transformer for Real-World Control at Scale

Anthony Brohan, Noah Brown, Justice Carbajal et al. · 2023 · 520 citations · Full text

, , +14

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Anthony Brohan, Noah Brown, Justice Carbajal et al. · arXiv (Cornell University) · 2023 · 270 citations · Full text

, , +17

Reinforcement Learning with Augmented Data

Michael Laskin, Kimin Lee, Adam Stooke et al. · arXiv (Cornell University) · 2020 · 246 citations · Full text

, , +13

Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation

Kevin Lai, Dieter Fox · The International Journal of Robotics Research · 2010 · 157 citations

, , +15

Multimodal deep learning for robust RGB-D object recognition

Andreas Eitel, Jost Tobias Springenberg, Luciano Spinello et al. · 2015 · 133 citations · Full text

, , +17

1–5 of 80

Authors

606

  1. SL
    Sergey Levine

    University of California, Berkeley, United States

    14 publications · 1.3K citations

    13

    h-index

  2. CF
    Chelsea Finn

    University of California, Berkeley, United States

    9 publications · 1.1K citations

    9

    h-index

  3. KH
    Karol Hausman

    Google (United States), United States

    8 publications · 1.2K citations

    8

    h-index

  4. QV
    Quan Vuong

    University of California San Diego, United States

    8 publications · 1.1K citations

    8

    h-index

  5. AI
    Alex Irpan

    Google (United States), United States

    7 publications · 1.1K citations

    7

    h-index

1–5 of 606

Institutions

120

  1. University of California, Berkeley

    Berkeley, United States

    7 h-index

    67 publications

    7.2K citations

  2. Google (United States)

    Mountain View, United States

    7 h-index

    141 publications

    34.4K citations

  3. Georgia Institute of Technology

    Atlanta, United States

    5 h-index

    14 publications

    705 citations

  4. New York University

    New York, United States

    4 h-index

    9 publications

    836 citations

  5. Queensland University of Technology

    Brisbane, Australia

    3 h-index

    8 publications

    545 citations

  6. University of Washington

    Seattle, United States

    3 h-index

    17 publications

    2K citations

  7. Imperial College London

    London, United Kingdom

    3 h-index

    6 publications

    333 citations

  8. Shanghai Jiao Tong University

    Shanghai, China

    3 h-index

    13 publications

    878 citations

1–8 of 120

Venues

  1. arXiv (Cornell University)

    Repository · 19 publications · 970 citations

    15

    h-index

  2. IEEE Robotics and Automation Letters

    7 publications · 166 citations

    7

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. Knee Surgery Sports Traumatology Arthroscopy

    KSSTA · 1 publications · 17 citations

    1

    h-index

1–5