Giovanna Amorim

Welcome! I am Giovanna Amorim, a PhD candidate in Mechanical and Aerospace Engineering at Princeton University, advised by Professor Naomi E. Leonard. My research focuses on perceptual decision-making, with an emphasis on how agents can use sensory information to make reliable decisions under sensing, communication, and computational constraints.

I study single-agent and multi-agent dynamical systems for decision-making over continuous option spaces, using tools from nonlinear dynamics, control theory, and frequency-domain analysis. My work spans control theory and robotics, including neuromorphic decision-making models, collective behavior in robot swarms, and applications to navigation and task allocation in dynamic environments.

Prior to Princeton, I earned a B.S. in Aerospace Engineering from the University of Maryland, where I conducted undergraduate research with Professor Derek Paley on soft underwater robotics and collective dynamics, and with Professor Mumu Xu on firefighting drone swarms. I was also a Summer Undergraduate Research Fellow at Caltech, where I worked with Professor Richard Murray on networked self-driving vehicles.