Surgical Task Planning

Surgical Task Planning is a computational framework within surgical robotics that determines the optimal sequence and parameters of actions required to achieve a specific surgical objective while accounting for anatomical constraints, robotic capabilities, and intraoperative conditions.

127

Publications

6K

Citations

595

Authors

245

Institutions

Publications per year

2017–2026

49

Authors

595

  1. PF
    Paolo Fiorini

    University of Verona, Italy

    7 publications · 404 citations

    7

    h-index

  2. RA
    Ron Alterovitz

    University of North Carolina at Chapel Hill, United States

    5 publications · 191 citations

    5

    h-index

  3. GD
    Gregory D. Hager

    Johns Hopkins University, United States

    4 publications · 286 citations

    4

    h-index

  4. RM
    Riccardo Muradore

    University of Verona, Italy

    4 publications · 114 citations

    4

    h-index

  5. TO
    Takayuki Osa

    The University of Tokyo, Japan

    3 publications · 180 citations

    3

    h-index

1–5 of 595

Venues

  1. Surgical Endoscopy

    10 publications · 720 citations

    10

    h-index

  2. 5

    h-index

  3. IEEE Robotics and Automation Letters

    4 publications · 152 citations

    4

    h-index

  4. Lecture notes in computer science

    LNCS · Book series · 4 publications · 265 citations

    4

    h-index

  5. Computerized Medical Imaging and Graphics

    CMIG · 4 publications · 110 citations

    4

    h-index

1–5