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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.03763 |
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| _version_ | 1866910993851875328 |
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| author | Schouten, Siebe J. Steenman, Tomas File, Rens Hartog, Merlijn Den Sakes, Aimee Della Santina, Cosimo Lussenburg, Kirsten Shahabi, Ebrahim |
| author_facet | Schouten, Siebe J. Steenman, Tomas File, Rens Hartog, Merlijn Den Sakes, Aimee Della Santina, Cosimo Lussenburg, Kirsten Shahabi, Ebrahim |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_03763 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | 3D Printable Gradient Lattice Design for Multi-Stiffness Robotic Fingers Schouten, Siebe J. Steenman, Tomas File, Rens Hartog, Merlijn Den Sakes, Aimee Della Santina, Cosimo Lussenburg, Kirsten Shahabi, Ebrahim Robotics 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. |
| title | 3D Printable Gradient Lattice Design for Multi-Stiffness Robotic Fingers |
| topic | Robotics |
| url | https://arxiv.org/abs/2501.03763 |