Imitating Artist’s Brushstroke Style by Machine Learning Methods

Acrylic Robotics is a robotics startup based in Montreal, on a mission to use technology to make fine art accessible to the general public. To make fine art accessible, this project focuses on the implementation of a larger robotic arm to recreate artists’ artworks at scale. The intern will be responsible for the development of painting functionality for a new robotic arm, refinement of the robotic painting output, and pilot testing of the robotic system with both internal and external clients. To increase the quality of the paintings, brush strokes should be similar to humans. For this reason, we want to integrate the original artists’ style by collecting brushstrokes (hand brush motion) samples and training a generative model. In other words, after collecting data from artists, a stylized brushstroke generator model will be trained to improve the quality of the paintings. The intern will use their expertise to implement complex control algorithms to recreate the delicate movements of a painter with large robotic arms. The intern will work with both clientele and company personnel to ensure that all desired needs of the client are understood and further translate these needs into control functionalities within the robotic capabilities.

Faculty Supervisor:

François Ferland

Student:

Partner:

Acrylic Robotics

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Sherbrooke

Program: