3D Printable Gradient Lattice Design for Multi-Stiffness Robotic Fingers
Siebe J. Schouten (Student TU Delft)
Tomas Steenman (Student TU Delft)
Rens File (Student TU Delft)
Merlijn Den Hartog (Student TU Delft)
Aimee Sakes (TU Delft - Medical Instruments & Bio-Inspired Technology)
Cosimo Della Santina (Deutsches Zentrum für Luft- und Raumfahrt (DLR), TU Delft - Learning & Autonomous Control)
K.M. Lussenburg (TU Delft - Medical Instruments & Bio-Inspired Technology)
Ebrahim ShahabiShalghouni (TU Delft - Learning & Autonomous Control)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Human fingers exhibit remarkable dexterity and adaptability through a combination of structures with varying stiffness levels, ranging from soft tissues (low stiffness) to tendons and cartilage (medium stiffness) to bones (high stiffness). This paper focuses on the development of a robotic finger that emulates these multi-stiffness characteristics. Specifically, we propose utilizing a lattice configuration, parameterized by voxel size and unit cell geometry, to achieve fine-tuned stiffness properties with high precision. A key advantage of this approach is its compatibility with single-process 3D printing, which eliminates the need for manual assembly of components with varying stiffness. Using this method, we present a novel, human-like robotic finger and a soft gripper. The gripper is integrated with a rigid manipulator and demonstrated in pick-and-place tasks, showcasing its effectiveness.
Files
File under embargo until 04-12-2025