Mirror Skin: In Situ Visualization of Robot Touch Intent on Robotic Skin

TL;DR

Mirror Skin is a novel robotic skin display that uses high-resolution visual feedback to effectively communicate robot touch intent, improving safety and predictability in human-robot interactions.

Contribution

It introduces a cephalopod-inspired visual feedback system on robotic skin that conveys touch intent with spatial and semantic clarity, validated through expert design and user studies.

Findings

Enhanced accuracy in interpreting robot touch intent

Reduced response times for human reactions

Demonstrated potential for safer human-robot interactions

Abstract

Effective communication of robotic touch intent is a key factor in promoting safe and predictable physical human-robot interaction (pHRI). While intent communication has been widely studied, existing approaches lack the spatial specificity and semantic depth necessary to convey robot touch actions. We present Mirror Skin, a cephalopod-inspired concept that utilizes high-resolution, mirror-like visual feedback on robotic skin. By mapping in-situ visual representations of a human's body parts onto the corresponding robot's touch region, Mirror Skin communicates who shall initiate touch, where it will occur, and when it is imminent. To inform the design of Mirror Skin, we conducted a structured design exploration with experts in virtual reality (VR), iteratively refining six key dimensions. A subsequent controlled user study demonstrated that Mirror Skin significantly enhances accuracy and reduces response times for interpreting touch intent. These findings highlight the potential of visual feedback on robotic skin to communicate human-robot touch interactions.