This project proposes Robartist, an autonomous mini-drone designed to act as a creative agent capable of producing artistic works. The primary objective is to develop a model and framework enabling Robartist to perceive, interpret, and materialize art inspired by human subjects. The system will integrate computer vision and artificial intelligence to visually capture and analyze the image of a human being, generating a conceptual artistic interpretation based on the acquired data. Equipped with a mechanism for physical expression, such as ink or paint, Robartist will then translate its digital interpretation into tangible artwork on a canvas. Through this integration of perception, cognition, and actuation, the project aims to explore the intersection between autonomous systems, artificial intelligence, and human-inspired creativity.
Faculty Advisor
Steve Barry serves as technology and data leader at a global investment bank. He brings more than 25 years of leadership experience in the realms of technology and finance. Furthermore, Steve’s expertise extends to data science and AI, with a demonstrated proficiency in platforms like AWS, Azure, and GCP.
Steve is currently a Lecturer in the Master’s in Applied Data Science at the University of Chicago. He graduated with a master’s degree from the same program in 2020. His background in finance and technology, has been pivotal in applying data science in practical contexts.
Complementing his professional experience, Steve served as a Teaching Assistant in the same University of Chicago Master’s program for three years for multiple courses including: BDP, DEPA, ML, and Data Visualization. This role allowed him to bridge the gap between academic knowledge and its application in the finance and tech industries. Steve is an enthusiastic lifelong learner that provides him unique perspective to communicate complex concepts clearly.