The grand challenges of learning medical robot autonomy.

Journal: Science robotics
Published Date:

Abstract

Most medical robots depend on human operators for sensing, decision-making, and action during procedures. Future progress depends on enabling robots to take on these capabilities. Although learning-based approaches provide remarkable promise toward achieving this goal, notable challenges must be addressed to unlock these robots' full potential in clinical settings.

Authors

  • Pierre E Dupont
    Department of Cardiovascular Surgery, Boston Children's Hospital, Harvard Medical School, Boston, MA, 02115, USA. firstname.lastname@childrens.harvard.edu.
  • Alperen Degirmenci
    NVIDIA Corporation, Santa Clara, CA 95051, USA.