Contact Modelling and Tactile Data Processing for Robot Skins
Wojciech Wasko, Alessandro Albini, Perla Maiolino, Fulvio Mastrogiovanni, Giorgio Cannata, MDPI Sensors (2019)
In collaboration with University of Genova
Abstract – Tactile sensing is a key enabling technology to develop complex behaviours for robots interacting with humans or the environment. This paper discusses computational aspects playing a significant role when extracting information about contact events. Considering a large-scale, capacitance-based robot skin technology we developed in the past few years, we analyse the classical Boussinesq–Cerruti’s solution and the Love’s approach for solving a distributed inverse contact problem, both from a qualitative and a computational perspective. Our contribution is the characterisation of the algorithms’ performance using a freely available dataset and data originating from surfaces provided with robot skin.