Improving Sensing Coverage and Compliance of 3D-Printed Artificial Skins Through Multi-Modal Sensing and Soft Materials

2026-04-28

AI Summary

This study addresses the limitations of existing 3D-printed artificial skins, which are often constrained by single-modality sensing and rigid materials, hindering simultaneous achievement of compliance, high spatial coverage, and multifunctional perception. The work presents the first integration of time-of-flight (ToF) and self-capacitance (SC) dual-modal sensing within a 3D-printed artificial skin, leveraging a flexible composite material and a monolithic electrical interface design. This enables concurrent capabilities in contact detection, proximity sensing, scene reconstruction, and pressure response. The developed skin module comprises 40 sensing units, and six such modules were deployed on an FR3 robotic arm, demonstrating exceptional multimodal perception, conformal adaptability, and impact resistance.

Abstract

3D-printed artificial skins are a scalable approach to whole-body tactile and proximity coverage, but prior implementations have been limited to unimodal sensing and rigid materials. To improve the practical usability of 3D-printed artificial skins, we present a hybrid time-of-flight (ToF) and self-capacitance (SC) sensing skin that demonstrates multi-modal sensing integration, soft compliant coverings for impact absorption and pressure sensing, and a streamlined electrical interface between printed conductive traces and external electronics. We show that combining ToF and SC modalities enables contact detection, scene reconstruction, and pressure-correlated tactile responses with the compliant covering by deploying six artificial skin units with 40 sensing elements over an FR3 robot arm.

Problem

• 3D-printed artificial skins
• sensing coverage
• compliance
• multi-modal sensing
• soft materials

Innovation

• multi-modal sensing
• 3D-printed artificial skin
• soft compliant materials
• time-of-flight (ToF)
• self-capacitance (SC)