Sensor-based Navigation

Sensor-Based Navigation is a robot navigation method that relies on real-time sensory input to perceive the environment and guide movement, distinguishing itself from map-based or pre-planned approaches by dynamically adapting to environmental changes through direct sensor feedback.

309

Publications

11.9K

Citations

932

Authors

319

Institutions

Publications per year

2017–2026

61

Authors

932

  1. FP
    F.G. Pin

    Oak Ridge National Laboratory, United States

    8 publications · 222 citations

    8

    h-index

  2. JC
    Jinkui Chu

    Dalian University of Technology, China

    8 publications · 257 citations

    8

    h-index

  3. YW
    Yutaka Watanabe

    Tokyo Metropolitan Institute of Gerontology, Japan

    5 publications · 121 citations

    5

    h-index

  4. JM
    Javier Mínguez

    Universidad de Zaragoza, Spain

    4 publications · 107 citations

    4

    h-index

  5. HD
    Hugh Durrant‐Whyte

    The University of Sydney, Australia

    4 publications · 179 citations

    4

    h-index

1–5 of 932

Venues

  1. 8

    h-index

  2. Sensors

    6 publications · 140 citations

    6

    h-index

  3. The International Journal of Robotics Research

    IJRR · 5 publications · 393 citations

    5

    h-index

  4. IEEE Sensors Journal

    5 publications · 183 citations

    5

    h-index

  5. Robotics and Autonomous Systems

    3 publications · 170 citations

    3

    h-index

1–5