Abstract
Robotic haircutting represents an emerging application of service robotics where safety is paramount. Unlike conventional collaborative or domestic tasks, haircutting requires prolonged operation in close proximity to the human head, one of the most vulnerable body regions, while relying on sharp or heated tools. These characteristics make safety concerns central not only to functional reliability but also to user acceptance. This paper reviews the safety landscape of haircutting robots by examining risks across the entire workflow and synthesizing lessons from related domains such as collaborative robotics, healthcare robotics, and autonomous systems. A three-layer framework---mechanical, sensor, and algorithmic---is used to organize existing approaches and identify how safety can be embedded from hardware design to control logic. Highlights opportunities and unresolved challenges in ensuring safe human--robot interaction in haircutting scenarios, providing guidance for future research and deployment.
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Safety in Robotic Haircutting | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 29 September 2025 V1 Latest version Share on Safety in Robotic Haircutting Authors : Zhendai Huang 0009-0006-0545-197X , S. Li 0009-0004-4499-0023 [email protected] , and Juha Röning Authors Info & Affiliations https://doi.org/10.22541/au.175917093.39470494/v1 313 views 200 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Robotic haircutting represents an emerging application of service robotics where safety is paramount. Unlike conventional collaborative or domestic tasks, haircutting requires prolonged operation in close proximity to the human head, one of the most vulnerable body regions, while relying on sharp or heated tools. These characteristics make safety concerns central not only to functional reliability but also to user acceptance. This paper reviews the safety landscape of haircutting robots by examining risks across the entire workflow and synthesizing lessons from related domains such as collaborative robotics, healthcare robotics, and autonomous systems. A three-layer framework---mechanical, sensor, and algorithmic---is used to organize existing approaches and identify how safety can be embedded from hardware design to control logic. Highlights opportunities and unresolved challenges in ensuring safe human--robot interaction in haircutting scenarios, providing guidance for future research and deployment. Supplementary Material File (wileynjdv5_ama(4).pdf) Download 7.49 MB Information & Authors Information Version history V1 Version 1 29 September 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords artificial intelligence sensing Authors Affiliations Zhendai Huang 0009-0006-0545-197X Oulu yliopisto Biocenter Oulu View all articles by this author S. Li 0009-0004-4499-0023 [email protected] Oulu yliopisto Biocenter Oulu View all articles by this author Juha Röning Oulu yliopisto Biocenter Oulu View all articles by this author Metrics & Citations Metrics Article Usage 313 views 200 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Zhendai Huang, S. Li, Juha Röning. Safety in Robotic Haircutting. Authorea . 29 September 2025. DOI: https://doi.org/10.22541/au.175917093.39470494/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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