Toward certifiable optimal motion planning for medical steerable needles.

Mengyu Fu1, Kiril Solovey2, Oren Salzman3

  • 1Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

The International Journal of Robotics Research
|October 31, 2023
PubMed
Summary

This study introduces novel motion planners for steerable needles, guaranteeing optimal and safe paths for automated medical procedures. These planners ensure accurate target mencapai and obstacle avoidance, enhancing patient safety and treatment efficacy.

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