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Visual servoing-based pneumatic hair transplantation mechanism for robotic FUE surgery

  • Fulin Jia
  • , Shenghao Yang
  • , Chenxi Han
  • , Junye Li
  • , Xuanru Han
  • , Chao Zhang
  • , Jiaole Wang*
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen

Research output: Contribution to journalArticlepeer-review

Abstract

Hair transplantation surgery is an effective solution for hair loss problems, among which follicle unit extraction (FUE) surgery is more widely used and favored. At present, most hair transplantation surgeries still rely heavily on manual operation by doctors and very few hair transplantation robots with complex structures have been introduced. This paper proposes a pneumatic hair transplantation mechanism for FUE surgery, equipped with a camera, capable of automatically performing both hair implantation and extraction with airflow. This pneumatic method eliminates the complex needle structure, has the function of temporarily storing the follicles inside the needle, thus facilitating the automation of transferring follicles from extraction to implantation. Then a visual feedback system is proposed to accurately position the follicles during the transplantation. The experimental results show that average distance deviation between the actual and target positions is 0.6128 mm and the average deviation of hair implantation depth is 1.7176 mm, which verify the feasibility of the proposed system.

Original languageEnglish
Article number100128
JournalBiomimetic Intelligence and Robotics
Volume3
Issue number4
DOIs
StatePublished - Dec 2023
Externally publishedYes

Keywords

  • Follicle unit extraction (FUE)
  • Image-based visual servoing (IBVS)
  • Robotic hair transplantation

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