3D Printable Gradient Lattice Design for Multi-Stiffness Robotic Fingers
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.
Authors
- Kirsten Lussenburg (ORCID: https://orcid.org/0000-0002-2518-9415)
- Ebrahim Shahabi (ORCID: https://orcid.org/0000-0002-4227-5374)
- Cosimo Della Santina (ORCID: https://orcid.org/0000-0003-1067-1134)
- Aimée Sakes (ORCID: https://orcid.org/0000-0002-4323-884X)
- Siebe J. Schouten
- Tomas Steenman
- Rens Filé
- Merlijn Den Hartog
Institutions
- Delft University of Technology (NL)
Publication Details
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1109/robosoft63089.2025.11020868
- Citations
- 1
- Primary Topic
- Soft Robotics and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- HORIZON EUROPE Framework Programme