Pasquale Ferrentino, Milan Amighi, Sadegh Zouelm, Théo Le Signor, Joost Brancart, Constantin Scholz, Jeroen Didden, Jelle Vanolst, Gaël Close, Bram Vanderborght
{"title":"SkinAxis: 3D force-sensing soft robotic skins balancing touch sensitivity and impact protection for safe pHRC.","authors":"Pasquale Ferrentino, Milan Amighi, Sadegh Zouelm, Théo Le Signor, Joost Brancart, Constantin Scholz, Jeroen Didden, Jelle Vanolst, Gaël Close, Bram Vanderborght","doi":"10.3389/frobt.2026.1937934","DOIUrl":null,"url":null,"abstract":"<p><p>Physical human-robot collaboration (pHRC) requires robotic skins that simultaneously ensure impact safety, as established by ISO/TS 15066, and preserve touch sensitivity for delicate human interactions. Existing soft skins enhance compliance and multimodal sensing, but their design is rarely guided by a quantitative evaluation of the trade-off between touch sensitivity and impact mitigation, and systematic impact testing against ISO/TS 15066 limits is often absent. The SkinAxis modular soft robotic skin addresses this gap by embedding a compact 3D force sensor in the soft material, directly enabling touch localization, and using a material-based design that jointly optimizes quasi-static touch sensitivity and impact safety. This purpose is achieved by combining the mechanical properties of elastomeric materials, selected through dedicated mechanical tests, to identify a stiff elastomer that efficiently transfers forces to the sensor and a highly dissipative elastomer that absorbs impact energy. To highlight the trade-off achieved by the selected materials, two main designs are benchmarked: a single-material baseline and a hybrid patch with a compliant surface, a rigid load-transmission plate, and a stiff sensor support sleeve. The designs are compared in terms of quasi-static force sensitivity <math><mrow><mo>(</mo> <mrow> <msub><mrow><mi>k</mi></mrow> <mrow><mi>ε</mi></mrow> </msub> </mrow> <mo>)</mo></mrow> </math> , touch localization performance, and maximum pressure, as well as peak-force and transmitted-energy reduction efficiencies ( <math> <mrow> <msub><mrow><mi>P</mi></mrow> <mrow><mtext>max</mtext></mrow> </msub> </mrow> </math> , <math> <mrow> <msubsup><mrow><mi>η</mi></mrow> <mrow><mtext>F</mtext></mrow> <mrow><mrow><mo>(</mo> <mrow><mo>-</mo></mrow> <mo>)</mo></mrow> </mrow> </msubsup> </mrow> </math> , <math> <mrow> <msubsup><mrow><mi>η</mi></mrow> <mrow><mtext>E</mtext></mrow> <mrow><mrow><mo>(</mo> <mrow><mo>-</mo></mrow> <mo>)</mo></mrow> </mrow> </msubsup> </mrow> </math> ), measured respectively in quasi-static compression, force-indentation, and impact experiments on a human head surrogate (PILZ PRMS setup). The results demonstrate that the hybrid solution achieves higher quasi-static force sensitivity <math><mrow><mo>(</mo> <mrow> <msub><mrow><mi>k</mi></mrow> <mrow><mi>ε</mi></mrow> </msub> <mo>=</mo> <mn>0.089</mn></mrow> <mo>)</mo></mrow> </math> , a more reliable model for touch localization; it reaches 44.66% reduction in peak force and 18.95% reduction of transmitted energy under impact at cobot's operational velocity of 1 <math> <mrow> <mfrac><mrow><mi>m</mi></mrow> <mrow><mi>s</mi></mrow> </mfrac> </mrow> </math> , with a maximum transmitted pressure of 1.11 MPa in accordance with ISO/TS 15066 limits. In parallel, finite element simulations predict the forces transmitted to the embedded force sensor in quasi-static compression and impact conditions, supporting the experimental findings.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1937934"},"PeriodicalIF":3.7000,"publicationDate":"2026-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13643023/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Robotics and AI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frobt.2026.1937934","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Physical human-robot collaboration (pHRC) requires robotic skins that simultaneously ensure impact safety, as established by ISO/TS 15066, and preserve touch sensitivity for delicate human interactions. Existing soft skins enhance compliance and multimodal sensing, but their design is rarely guided by a quantitative evaluation of the trade-off between touch sensitivity and impact mitigation, and systematic impact testing against ISO/TS 15066 limits is often absent. The SkinAxis modular soft robotic skin addresses this gap by embedding a compact 3D force sensor in the soft material, directly enabling touch localization, and using a material-based design that jointly optimizes quasi-static touch sensitivity and impact safety. This purpose is achieved by combining the mechanical properties of elastomeric materials, selected through dedicated mechanical tests, to identify a stiff elastomer that efficiently transfers forces to the sensor and a highly dissipative elastomer that absorbs impact energy. To highlight the trade-off achieved by the selected materials, two main designs are benchmarked: a single-material baseline and a hybrid patch with a compliant surface, a rigid load-transmission plate, and a stiff sensor support sleeve. The designs are compared in terms of quasi-static force sensitivity , touch localization performance, and maximum pressure, as well as peak-force and transmitted-energy reduction efficiencies ( , , ), measured respectively in quasi-static compression, force-indentation, and impact experiments on a human head surrogate (PILZ PRMS setup). The results demonstrate that the hybrid solution achieves higher quasi-static force sensitivity , a more reliable model for touch localization; it reaches 44.66% reduction in peak force and 18.95% reduction of transmitted energy under impact at cobot's operational velocity of 1 , with a maximum transmitted pressure of 1.11 MPa in accordance with ISO/TS 15066 limits. In parallel, finite element simulations predict the forces transmitted to the embedded force sensor in quasi-static compression and impact conditions, supporting the experimental findings.
期刊介绍:
Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.