Gaussian process inference modelling of dynamic robot control for expressive piano playing.

ABSTRACT: Piano is a complex instrument, which humans learn to play after many years of practice. This paper investigates the complex dynamics of the embodied interactions between a human and piano, in order to gain insights into the nature of humans' physical dexterity and adaptability. In this context, the dynamic interactions become particularly crucial for delicate expressions, often present in advanced music pieces, which is the main focus of this paper. This paper hypothesises that the relationship between motor control for key-pressing and the generated sound is a manifold problem, with high-degrees of non-linearity in nature. We employ a minimalistic experimental platform based on a robotic arm equipped with a single elastic finger in order to systematically investigate the motor control and

SUBMITTER: Scimeca L 

PROVIDER: S-EPMC7428139 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature