Planetary Robotic Perception

Planetary Robotic Perception is a computational framework that enables robotic systems to interpret and understand environmental sensor data acquired on celestial bodies beyond Earth, distinguishing itself through its adaptation to extraterrestrial conditions such as low light, extreme temperatures, dust, and time-delayed human interaction.

14

Publications

702

Citations

58

Authors

16

Institutions

Publications per year

2017–2026

1

Authors

58

  1. MH
    Martial Hebert

    Carnegie Mellon University, United States

    2 publications · 54 citations

    2

    h-index

  2. EK
    Eric Krotkov

    Carnegie Mellon University, United States

    2 publications · 54 citations

    2

    h-index

  3. DW
    David Wettergreen

    Carnegie Mellon University, United States

    1 publications · 58 citations

    1

    h-index

  4. RR
    Robert Rosenberger

    Georgia Institute of Technology, United States

    1 publications · 20 citations

    1

    h-index

  5. DA
    Douglas A. O’Handley

    Jet Propulsion Laboratory, United States

    1 publications · 14 citations

    1

    h-index

1–5 of 58

Venues

  1. International Journal of Computer Vision

    1 publications · 185 citations

    1

    h-index

  2. Acta Astronautica

    1 publications · 15 citations

    1

    h-index

  3. Robotics and Autonomous Systems

    1 publications · 12 citations

    1

    h-index

  4. Choice Reviews Online

    CRO · 1 publications · 18 citations

    1

    h-index

  5. IBM Journal of Research and Development

    1 publications · 228 citations

    1

    h-index

1–5