	Vernon holds a degree in Computer Science and Master in Computer Vision. He is assistant professor in the subject of Robotics, Lanaguage and Planing.
Position: Assistant Professor

Abstract

As the paradigm of human-computer interaction shifts to increasingly intelligent systems that require no direct user inputs to provide services, the way we interact with our machines is still primarily ”active interactions” as the computer requires direct user input to provide its content. In this master’s thesis, we create a physical proof of concept that implements computer vision algorithms to aid in interaction in the form of a self-built robotic arm with a camera that can interface with a Raspberry Pi, a small computer. This robot aims to provide the user with a way to interact with computer vision processes they might find helpful, like Style Transfer for storytelling and publication on social media accounts. The proof of concept utilizes a feedforward style transfer neural network in near real-time in its hardware, switching the context of the style transfer depending on the user’s facial expression.

Alballeros, V. S. (2021). StyleArm: a style-transferring robotic arm. Master Thesis. Supervisor: Fernando Vilariño. Universitat Autònoma de Barcelona.

Vernon Stanley Alballeros