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Toward Geometry-Scalable Whole-Body Touch for Humanoids: A 3D-Printed Conformal EIT Skin

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Do you know Haofeng Chen?You can claim authorship or link another user.Do you know Carson Kohlbrenner?You can claim authorship or link another user.Do you know Jiri Kubik?You can claim authorship or link another user.Do you know Lukas Rustler?You can claim authorship or link another user.Do you know Alexander Dickhans?You can claim authorship or link another user.Do you know Karel Bartunek?You can claim authorship or link another user.Do you know Alessandro Roncone?You can claim authorship or link another user.Do you know Hyosang Lee?You can claim authorship or link another user.Do you know Matej Hoffmann?You can claim authorship or link another user.

Abstract

Whole-body tactile sensing is a prerequisite for humanoids that operate in contact-rich human environments, but conventional taxel arrays scale poorly with surface area, wiring complexity, and robot-specific curvature. We present a conformal electrical impedance tomography tactile skin fabricated through a geometry-adaptable additive-manufacturing workflow. A flexible conductive TPU layer forms a continuous sensing domain, while contact-induced coupling with conductive patches produces boundary voltage changes that are reconstructed using a one-step Gauss-Newton EIT solver. We first characterize the electromechanical design space of the layered structure and show that low-resistance contact-enhancement patches and a porous conductive TPU sensing layer improve sensitivity while preserving printability. We then validate contact localization on a planar prototype, a curved U-shaped prototype, and a qualitative iCub-face-shaped geometry. The curved sensor achieves a mean localization error of 6 mm over 18 contact positions without supervised post-processing. These results suggest that additively manufactured tomographic skins can reduce the morphology-specific redesign burden for humanoid tactile coverage and provide a practical route toward large-area contact sensing for human-centered deployment.

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Publication notes

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Submitted to IEEE Humanoids