Autonomous Sample Collection

Autonomous Sample Collection is an academic concept referring to a methodological framework within autonomous drilling systems that enables unattended, real-time acquisition of geological samples through integrated sensing, decision-making, and mechanical actuation, distinguishing it from manual or semi-automated sampling approaches by its reliance on closed-loop control and environmental adaptability.

29

Publications

1K

Citations

177

Authors

43

Institutions

Publications per year

2017–2026

17

Authors

177

  1. JM
    James M. Birch

    Monterey Bay Aquarium Research Institute, United States

    5 publications · 287 citations

    5

    h-index

  2. JP
    John P. Ryan

    Monterey Bay Aquarium Research Institute, United States

    4 publications · 323 citations

    4

    h-index

  3. DP
    Douglas Pargett

    Monterey Bay Aquarium Research Institute, United States

    4 publications · 266 citations

    4

    h-index

  4. CA
    Christopher A. Scholin

    Monterey Bay Aquarium Research Institute, United States

    4 publications · 266 citations

    4

    h-index

  5. KM
    Kevan M. Yamahara

    Stanford University, United States

    3 publications · 237 citations

    3

    h-index

1–5 of 177

Venues

  1. Water

    2 publications · 136 citations

    2

    h-index

  2. Acta Astronautica

    2 publications · 64 citations

    2

    h-index

  3. Scientific African

    1 publications · 23 citations

    1

    h-index

  4. Engineering for Rural Development

    1 publications · 19 citations

    1

    h-index

  5. npj Computational Materials

    1 publications · 51 citations

    1

    h-index

1–5