Towards an Untethered Knit Fabric Soft Continuum Robotic Module with Embedded Fabric Sensing
Pham H. Nguyen, Zhi Qiao, Sam Seidel, Sunny Amatya, Imran I. B. Mohd, Wenlong Zhang
- Year
- 2020
- Citations
- 8
Abstract
In this paper, we present the design and testing of a continuum, lightweight, multi-degree of freedom (DOF) soft robotic module made of high-stretch knit fabric. A set of design criteria, inspired by muscular hydrostats found in elephant trunks, is presented in order to create a highly articulated and robust soft robotic module. The soft continuum robotic module can vertically extend and twist along its central axis, as well as bend in 3D space. The material properties of the knit fabrics are characterized. The bending articulation and payload capabilities of the module are investigated. This work also demonstrates the embedded integration of a thin, flexible, and conductive fabric stretch sensor with the module to provide pose information for motion tracking. An on-board electropnuematic system is also developed. This system allows for the future creation of safe human-robot interfaces that are multi-functional integration of multiple soft robotic modular units that are deployable for various complex tasks.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002