日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2501.03763

3D Printable Gradient Lattice Design for Multi-Stiffness Robotic Fingers

3D Printable Gradient Lattice Design for Multi-Stiffness Robotic Fingers

シェア:XThreadsFacebookLINEはてブBluesky

著者: Siebe J. Schouten, Tomas Steenman, Rens File, Merlijn Den Hartog, Aimee Sakes, Cosimo Della Santina, Kirsten Lussenburg, Ebrahim Shahabi

分類: cs.RO

原文アブストラクト

Human fingers achieve exceptional dexterity and adaptability by combining structures with varying stiffness levels, from soft tissues (low) to tendons and cartilage (medium) to bones (high). This paper explores developing a robotic finger with similar multi-stiffness characteristics. Specifically, we propose using a lattice configuration, parameterized by voxel size and unit cell geometry, to optimize and achieve fine-tuned stiffness properties with high granularity. A significant advantage of this approach is the feasibility of 3D printing the designs in a single process, eliminating the need for manual assembly of elements with differing stiffness. Based on this method, we present a novel, human-like finger, and a soft gripper. We integrate the latter with a rigid manipulator and demonstrate the effectiveness in pick and place tasks.