aiqbench analysis
Mirror Skin introduces a cephalopod-inspired interface that maps human body parts directly onto robotic skin to convey precise touch intent, addressing critical gaps in spatial specificity and semantic depth for safe physical human-robot interaction. User studies confirm that this visualization method significantly enhances accuracy and response times compared to existing approaches, marking a tangible advancement in embodied AI safety protocols.
Mirror Skin: In Situ Visualization of Robot Touch Intent on Robotic Skin
arXiv:2512.11472v3 Announce Type: replace-cross Abstract: Effective communication of robot touch intent is essential for safe and predictable physical human-robot interaction. While intent communication has been widely studied, existing approaches lack the spatial specificity and semantic depth necessary to efficiently convey robot touch intent. We present Mirror Skin, a cephalopod inspired concept that mirrors in-situ visual representations of a human's body parts onto the corresponding robot's touch region to communicate who shall initiate touch, where it will occur, and when it is imminent. We informed the design of Mirror Skin through a structured design exploration with experts and demonstrate the real-world feasibility of Mirror Skin with a proof-of-concept prototype. User studies in VR and with the physical prototype showed that Mirror Skin significantly improves accuracy and response times for interpreting touch intent and improves the user experience during physical human-robot interactions.
Abstract:Effective communication of robot touch intent is essential for safe and predictable physical human-robot interaction. While intent communication has been widely studied, existing approaches lack the spatial specificity and semantic depth necessary to efficiently convey robot touch intent. We present Mirror Skin, a cephalopod inspired concept that mirrors in-situ visual representations of a human's body parts onto the corresponding robot's touch region to communicate who shall initiate touch, where it will occur, and when it is imminent. We informed the design of Mirror Skin through a structured design exploration with experts and demonstrate the real-world feasibility of Mirror Skin with a proof-of-concept prototype. User studies in VR and with the physical prototype showed that Mirror Skin significantly improves accuracy and response times for interpreting touch intent and improves the user experience during physical human-robot interactions.
Human-Computer Interaction (cs.HC); Robotics (cs.RO)
arXiv:2512.11472 [cs.HC]
(or arXiv:2512.11472v3 [cs.HC] for this version)
https://doi.org/10.48550/arXiv.2512.11472 Focus to learn more arXiv-issued DOI via DataCite
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Full text under the publisher's open licence · 229 words
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