Soft and Compliant Contact-Rich Hair Manipulation and Care

Fuente: arXiv
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Autores principales: Yoo, Uksang, Dennler, Nathaniel, Xing, Eliot, Matarić, Maja, Nikolaidis, Stefanos, Ichnowski, Jeffrey, Oh, Jean
Formato: Preprint
Publicado: 2025
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author Yoo, Uksang
Dennler, Nathaniel
Xing, Eliot
Matarić, Maja
Nikolaidis, Stefanos
Ichnowski, Jeffrey
Oh, Jean
author_facet Yoo, Uksang
Dennler, Nathaniel
Xing, Eliot
Matarić, Maja
Nikolaidis, Stefanos
Ichnowski, Jeffrey
Oh, Jean
contents Hair care robots can help address labor shortages in elderly care while enabling those with limited mobility to maintain their hair-related identity. We present MOE-Hair, a soft robot system that performs three hair-care tasks: head patting, finger combing, and hair grasping. The system features a tendon-driven soft robot end-effector (MOE) with a wrist-mounted RGBD camera, leveraging both mechanical compliance for safety and visual force sensing through deformation. In testing with a force-sensorized mannequin head, MOE achieved comparable hair-grasping effectiveness while applying significantly less force than rigid grippers. Our novel force estimation method combines visual deformation data and tendon tensions from actuators to infer applied forces, reducing sensing errors by up to 60.1% and 20.3% compared to actuator current load-only and depth image-only baselines, respectively. A user study with 12 participants demonstrated statistically significant preferences for MOE-Hair over a baseline system in terms of comfort, effectiveness, and appropriate force application. These results demonstrate the unique advantages of soft robots in contact-rich hair-care tasks, while highlighting the importance of precise force control despite the inherent compliance of the system.
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id arxiv_https___arxiv_org_abs_2501_02630
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Soft and Compliant Contact-Rich Hair Manipulation and Care
Yoo, Uksang
Dennler, Nathaniel
Xing, Eliot
Matarić, Maja
Nikolaidis, Stefanos
Ichnowski, Jeffrey
Oh, Jean
Robotics
Hair care robots can help address labor shortages in elderly care while enabling those with limited mobility to maintain their hair-related identity. We present MOE-Hair, a soft robot system that performs three hair-care tasks: head patting, finger combing, and hair grasping. The system features a tendon-driven soft robot end-effector (MOE) with a wrist-mounted RGBD camera, leveraging both mechanical compliance for safety and visual force sensing through deformation. In testing with a force-sensorized mannequin head, MOE achieved comparable hair-grasping effectiveness while applying significantly less force than rigid grippers. Our novel force estimation method combines visual deformation data and tendon tensions from actuators to infer applied forces, reducing sensing errors by up to 60.1% and 20.3% compared to actuator current load-only and depth image-only baselines, respectively. A user study with 12 participants demonstrated statistically significant preferences for MOE-Hair over a baseline system in terms of comfort, effectiveness, and appropriate force application. These results demonstrate the unique advantages of soft robots in contact-rich hair-care tasks, while highlighting the importance of precise force control despite the inherent compliance of the system.
title Soft and Compliant Contact-Rich Hair Manipulation and Care
topic Robotics
url https://arxiv.org/abs/2501.02630