Robotic Navigation Learning

Robotic Navigation Learning is a methodological framework within self-supervised robot learning that enables autonomous agents to acquire navigational capabilities through environmental interaction and intrinsic reward mechanisms without reliance on externally labeled supervision.

128

Publications

5.8K

Citations

434

Authors

151

Institutions

Publications per year

2017–2026

70

Authors

434

  1. DB
    Dhruv Batra

    Georgia Institute of Technology, United States

    6 publications · 510 citations

    6

    h-index

  2. SL
    Sergey Levine

    University of California, Berkeley, United States

    5 publications · 232 citations

    5

    h-index

  3. IE
    Irfan Essa

    Georgia Institute of Technology, United States

    4 publications · 348 citations

    4

    h-index

  4. SL
    Stefan Lee

    Georgia Institute of Technology, United States

    4 publications · 348 citations

    4

    h-index

  5. EW
    Erik Wijmans

    Georgia Institute of Technology, United States

    4 publications · 348 citations

    4

    h-index

1–5 of 434

Venues

  1. arXiv (Cornell University)

    Repository · 22 publications · 626 citations

    14

    h-index

  2. IEEE Robotics and Automation Letters

    5 publications · 332 citations

    5

    h-index

  3. Journal of Field Robotics

    JFR · 3 publications · 218 citations

    3

    h-index

  4. 3

    h-index

  5. Neural Networks

    3 publications · 75 citations

    3

    h-index

1–5