Uncertainty-aware Navigation

Uncertainty-Aware Navigation is a navigation framework that incorporates systematic estimation and management of sensory, environmental, and model uncertainties to enhance decision-making robustness in autonomous systems operating under incomplete or noisy information.

81

Publications

5.2K

Citations

230

Authors

108

Institutions

Publications per year

2017–2026

26

Authors

230

  1. JL
    J.-C. Latombe

    Stanford University, United States

    3 publications · 226 citations

    3

    h-index

  2. LA
    Lounis Adouane

    Institut Pascal, France

    2 publications · 48 citations

    2

    h-index

  3. VB
    Vaishak Belle

    University of Edinburgh, United Kingdom

    2 publications · 148 citations

    2

    h-index

  4. SK
    Sven Koenig

    University of Southern California, United States

    2 publications · 591 citations

    2

    h-index

  5. MH
    Martial Hebert

    Carnegie Mellon University, United States

    2 publications · 217 citations

    2

    h-index

1–5 of 230

Venues

  1. Robotics and Autonomous Systems

    4 publications · 137 citations

    4

    h-index

  2. 2

    h-index

  3. Sensors

    2 publications · 68 citations

    2

    h-index

  4. Journal of Guidance Control and Dynamics

    2 publications · 37 citations

    2

    h-index

  5. 1

    h-index

1–5