ROLGSYJul 28, 2025

Fluidically Innervated Lattices Make Versatile and Durable Tactile Sensors

arXiv:2507.21225v21 citationsh-index: 9
Originality Incremental advance
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This addresses the problem of robust and versatile tactile sensing for robots in applications like manipulation and exploration, offering a simple and durable solution.

The paper tackled tactile sensing for robots by introducing a passive soft robotic fingertip with 3D-printed elastomer lattices and embedded air channels, achieving accurate prediction of contact location and force through neural network training and demonstrating durability under high impact and cyclic loading.

Tactile sensing plays a fundamental role in enabling robots to navigate dynamic and unstructured environments, particularly in applications such as delicate object manipulation, surface exploration, and human-robot interaction. In this paper, we introduce a passive soft robotic fingertip with integrated tactile sensing, fabricated using a 3D-printed elastomer lattice with embedded air channels. This sensorization approach, termed fluidic innervation, transforms the lattice into a tactile sensor by detecting pressure changes within sealed air channels, providing a simple yet robust solution to tactile sensing in robotics. Unlike conventional methods that rely on complex materials or designs, fluidic innervation offers a simple, scalable, single-material fabrication process. We characterize the sensors' response, develop a geometric model to estimate tip displacement, and train a neural network to accurately predict contact location and contact force. Additionally, we integrate the fingertip with an admittance controller to emulate spring-like behavior, demonstrate its capability for environment exploration through tactile feedback, and validate its durability under high impact and cyclic loading conditions. This tactile sensing technique offers advantages in terms of simplicity, adaptability, and durability and opens up new opportunities for versatile robotic manipulation.

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