Navigation Learning

Navigation Learning is a subfield of robot learning that studies methods by which autonomous agents acquire, from data or interaction experience, policies or models for goal-directed movement, path planning, and motion control in complex environments rather than relying solely on hand-engineered navigation strategies.

639

Publications

42.1K

Citations

2K

Authors

595

Institutions

Publications per year

2017–2026

278

Authors

2K

  1. DB
    Dhruv Batra

    Georgia Institute of Technology, United States

    15 publications · 782 citations

    13

    h-index

  2. DP
    Devi Parikh

    Georgia Institute of Technology, United States

    8 publications · 453 citations

    8

    h-index

  3. WB
    Wolfram Burgard

    University of Freiburg, Germany

    8 publications · 800 citations

    8

    h-index

  4. PG
    Paul Graham

    University of Sussex, United Kingdom

    8 publications · 509 citations

    8

    h-index

  5. EW
    Erik Wijmans

    Georgia Institute of Technology, United States

    7 publications · 480 citations

    7

    h-index

1–5 of 2K

Venues

  1. arXiv (Cornell University)

    Repository · 68 publications · 3.3K citations

    26

    h-index

  2. IEEE Robotics and Automation Letters

    15 publications · 1K citations

    14

    h-index

  3. Behavioural Brain Research

    11 publications · 585 citations

    11

    h-index

  4. Robotics and Autonomous Systems

    10 publications · 334 citations

    10

    h-index

  5. Journal of Environmental Psychology

    9 publications · 647 citations

    9

    h-index

1–5