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Haircutting Robots: From Theory to Practice

  • Shuai Li*
  • *Corresponding author for this work
  • University of Oulu

Research output: Contribution to journalReview Articlepeer-review

Abstract

The field of haircutting robots is poised for a significant transformation, driven by advancements in artificial intelligence, mechatronics, and humanoid robotics. This perspective paper examines the emerging market for haircutting robots, propelled by decreasing hardware costs and a growing demand for automated grooming services. We review foundational technologies, including advanced hair modeling, real-time motion planning, and haptic feedback, and analyze their application in both teleoperated and fully autonomous systems. Key technical requirements and challenges in safety certification are discussed in detail. Furthermore, we explore how cutting-edge technologies like direct-drive systems, large language models, virtual reality, and big data collection can empower these robots to offer a human-like, personalized, and efficient experience. We propose a business model centered on supervised autonomy, which enables early commercialization and sets a path toward future scalability. This perspective paper provides a theoretical and technical framework for the future deployment and commercialization of haircutting robots, highlighting their potential to create a new sector in the automation industry.
Original languageEnglish
Article number47
JournalAutomation
Volume6
Issue number3
DOIs
Publication statusPublished - Sept 2025
MoE publication typeA2 Review article in a scientific journal

Keywords

  • automated haircutting
  • hair manipulation
  • hair modeling
  • haircutting robots
  • head pose estimation
  • teleoperated haircutting

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