ABOUT
I love reading classic books of Italian and foreign literature, but also popular scientific books which deal with the great themes of space and time. All this always trying to keep me fit with a bit of gym and running. Training either just the mind or just the body would not be healthy, indeed ’mens sana in corpore sano’ (Juvenal, Satires X, 357).
Main Accomplished University Projects before the PhD
A RL Environment for Multi-Service UAV-enabled Wireless [Mar-Sep 2020]
Development of a (RL and Path-planning)-based multi-purpose environment for autonomous UAVs design to offer different communication services in a variety of application contexts (e.g., wireless mobile connectivity services, edge computing, ...)
Load Estimation on a Quadrotor [Apr-Jul 2019]
Estimation of the mass of a load placed on a quadrotor starting from its dynamic model
Interactive Imitation Game and Motor Coordination With Pepper Robot [May-Jul 2019]
Development of a (Deep Learning)-based imitation game mostly designed for children, who can interact with the Pepper robot
A portable da Vinci simulator in virtual reality [Jun-Oct 2018]
Development of a robotic simulator of the dVRK with cheap haptic interfaces and an Oculus Rift for 3D visualization of the virtual scene and control of the endoscopic camera with head motion
Multi-Agent System: coordination of soccer players [Aug-Sep 2018]
Dynamic assignment of the most suitable role to each Nao robot (here used as a soccer robot player)
Study Experiences Abroad
EEML (Eastern European Machine Learning) Summer School 2023, Kosice, Slovakia
Intense course lectures from top AI research scientists and professors, mainly from MIT, Nvidia, Google Brain, OpenAI.
Southampton, England, UK Visiting PhD student at the University of Southampton [May-July 2022]
Development of an DRL-based algorithm for a persistent swarm UAVs by collaborating with the SOTON UAV Team of the Faculty of Aerospace Engineering at the University of Southampton.
Japan Tohoku University Engineering Summer Program (TESP) [August 2019]
MyO armband electromyographic signals reading to design a desired trajectory for Tello drone (with Raspberry Pi).
Details and Certifications
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CV
University e-mail: brunori@diag.uniroma1.it
Private e-mail: damiano.brunori2@gmail.com
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ESL Accuplacer Test Result