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Autori principali: Georgadarellis, Gina L., Beslic, Natalija, Lee, Seonhun, Sup IV, Frank C., Huber, Meghan E.
Natura: Preprint
Pubblicazione: 2026
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Accesso online:https://arxiv.org/abs/2603.17189
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author Georgadarellis, Gina L.
Beslic, Natalija
Lee, Seonhun
Sup IV, Frank C.
Huber, Meghan E.
author_facet Georgadarellis, Gina L.
Beslic, Natalija
Lee, Seonhun
Sup IV, Frank C.
Huber, Meghan E.
contents Opening sterile medical packaging is routine for healthcare workers but remains challenging for robots. Learning from demonstration enables robots to acquire manipulation skills directly from humans, and handheld gripper tools such as the Universal Manipulation Interface (UMI) offer a pathway for efficient data collection. However, the effectiveness of these tools depends heavily on their usability. We evaluated UMI in demonstrating a bandage opening task, a common manipulation task in hospital settings, by testing three conditions: distributed load grippers, concentrated load grippers, and bare hands. Eight participants performed timed trials, with task performance assessed by success rate, completion time, and damage, alongside perceived workload using the NASA-TLX questionnaire. Concentrated load grippers improved performance relative to distributed load grippers but remained substantially slower and less effective than hands. These results underscore the importance of ergonomic and mechanical refinements in handheld grippers to reduce user burden and improve demonstration quality, especially for applications in healthcare robotics.
format Preprint
id arxiv_https___arxiv_org_abs_2603_17189
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Influence of Gripper Design on Human Demonstration Quality for Robot Learning
Georgadarellis, Gina L.
Beslic, Natalija
Lee, Seonhun
Sup IV, Frank C.
Huber, Meghan E.
Robotics
Opening sterile medical packaging is routine for healthcare workers but remains challenging for robots. Learning from demonstration enables robots to acquire manipulation skills directly from humans, and handheld gripper tools such as the Universal Manipulation Interface (UMI) offer a pathway for efficient data collection. However, the effectiveness of these tools depends heavily on their usability. We evaluated UMI in demonstrating a bandage opening task, a common manipulation task in hospital settings, by testing three conditions: distributed load grippers, concentrated load grippers, and bare hands. Eight participants performed timed trials, with task performance assessed by success rate, completion time, and damage, alongside perceived workload using the NASA-TLX questionnaire. Concentrated load grippers improved performance relative to distributed load grippers but remained substantially slower and less effective than hands. These results underscore the importance of ergonomic and mechanical refinements in handheld grippers to reduce user burden and improve demonstration quality, especially for applications in healthcare robotics.
title Influence of Gripper Design on Human Demonstration Quality for Robot Learning
topic Robotics
url https://arxiv.org/abs/2603.17189