Concepedia

Few-shot Robot Learning

Few-Shot Robot Learning is a subfield of data-efficient robot learning that focuses on enabling robots to acquire new skills or adapt to novel tasks rapidly from a small number of demonstrations or interactions, distinguished by its emphasis on generalization from limited experiential data.

12

Publications

913

Citations

41

Authors

13

Institutions

Publications per year

2017–2026

12

Parents

Publications

12

One-Shot Imitation Learning

Yan Duan, Marcin Andrychowicz, Bradly C. Stadie et al. · Neural Information Processing Systems · 2017 · 279 citations

, , +13

One-Shot Imitation Learning

Yan Duan, Marcin Andrychowicz, Bradly C. Stadie et al. · arXiv (Cornell University) · 2017 · 229 citations · Full text

, , +13

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

Danfei Xu, Suraj Nair, Yuke Zhu et al. · 2018 · 153 citations

, , +15

Meta-Reinforcement Learning in Non-Stationary and Dynamic Environments

Zhenshan Bing, David Lerch, Kai Huang et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2022 · 63 citations · Full text

, , +13

Task-Embedded Control Networks for Few-Shot Imitation Learning

Stephen James, Michael Bloesch, Andrew J. Davison · arXiv (Cornell University) · 2018 · 35 citations · Full text

, , +12

1–5 of 12

Authors

41

  1. CF
    Chelsea Finn

    University of California, Berkeley, United States

    3 publications · 67 citations

    3

    h-index

  2. PA
    Pieter Abbeel

    University of California, Berkeley, United States

    3 publications · 535 citations

    3

    h-index

  3. DX
    Danfei Xu

    Stanford University, United States

    2 publications · 172 citations

    2

    h-index

  4. SL
    Sergey Levine

    University of California, Berkeley, United States

    2 publications · 42 citations

    2

    h-index

  5. MA
    Marcin Andrychowicz

    Google (United States), United States

    2 publications · 508 citations

    2

    h-index

1–5 of 41

Institutions

13

  1. Chinese Academy of Sciences

    Beijing, China

    1 h-index

    6 publications

    126 citations

  2. Peng Cheng Laboratory

    Shenzhen, China

    1 h-index

    1 publications

    63 citations

  3. University of Chinese Academy of Sciences

    Beijing, China

    1 h-index

    5 publications

    105 citations

  4. Sun Yat-sen University

    Guangzhou, China

    1 h-index

    1 publications

    63 citations

  5. Institute of Semiconductors

    Beijing, China

    1 h-index

    1 publications

    21 citations

  6. California Institute of Technology

    Pasadena, United States

    1 h-index

    1 publications

    19 citations

  7. Technical University of Munich

    Munich, Germany

    1 h-index

    3 publications

    189 citations

  8. University of California, Berkeley

    Berkeley, United States

    1 h-index

    4 publications

    108 citations

1–8 of 13

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 299 citations

    4

    h-index

  2. 1

    h-index

  3. IEEE/ASME Transactions on Mechatronics

    1 publications · 21 citations

    1

    h-index

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

    Conference · 1 publications · 27 citations

    1

    h-index

  5. Conference on Robot Learning

    Conference · 1 publications · 26 citations

    1

    h-index

1–5