Front Hair Styling Robot System Using Path Planning for Root-Centric Strand Adjustment
Soonhyo Kim, Naoaki Kanazawa, Shun Hasegawa, Kento Kawaharazuka and, Kei Okada

TL;DR
This paper introduces a robotic system for front hair styling that uses path planning and image-based orientation maps to automatically adjust hair strands at the roots, achieving precise and consistent styling.
Contribution
The study presents a novel robotic system that focuses on root-centric strand adjustment for front hair styling using path planning and closed-loop refinement.
Findings
High similarity and consistency in front hair styling achieved
Effective path planning ensures precise strand adjustments
Closed-loop mechanism improves styling accuracy
Abstract
Hair styling is a crucial aspect of personal grooming, significantly influenced by the appearance of front hair. While brushing is commonly used both to detangle hair and for styling purposes, existing research primarily focuses on robotic systems for detangling hair, with limited exploration into robotic hair styling. This research presents a novel robotic system designed to automatically adjust front hairstyles, with an emphasis on path planning for root-centric strand adjustment. The system utilizes images to compare the current hair state with the desired target state through an orientation map of hair strands. By concentrating on the differences in hair orientation and specifically targeting adjustments at the root of each strand, the system performs detailed styling tasks. The path planning approach ensures effective alignment of the hairstyle with the target, and a closed-loop…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEngineering Applied Research · Textile materials and evaluations · Laser and Thermal Forming Techniques
