Computational Design Tools for Soft Inductive Tactile Sensors
D. A. Jones, Jun Wai Kow, Ali Alazmani, Peter Culmer
- Year
- 2018
- Citations
- 2
Abstract
Soft tactile sensors are a key enabling technology for next generation robotic systems and it is imperative to develop appropriate design tools to inform their design, integration and optimisation. The use of computational models can help speed this process and minimise the need for timely emperical design methods. Here we present the use of computational multi-physics modelling as a design tool for Soft Inductive Tactile Sensors (SITS) which use variation in electromagnetically-induced eddy-current effects as a transducer mechanism. We develop and experimentally validate 2D models which extend existing understanding to provide insight into the configuration of sensing elements for measurement of multi-axis forces and rejection of unwanted environmental disturbances. We analyse the limitations of this approach and discuss opportunities for future improvements to advance this burgeoning area.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991